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| 1 | +import type { TextGenerationInput, TextGenerationOutput } from "@huggingface/tasks"; |
1 | 2 | import { InferenceOutputError } from "../../lib/InferenceOutputError";
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2 | 3 | import type { BaseArgs, Options } from "../../types";
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3 | 4 | import { request } from "../custom/request";
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4 | 5 |
|
5 |
| -/** |
6 |
| - * Inputs for Text Generation inference |
7 |
| - */ |
8 |
| -export interface TextGenerationInput { |
9 |
| - /** |
10 |
| - * The text to initialize generation with |
11 |
| - */ |
12 |
| - inputs: string; |
13 |
| - /** |
14 |
| - * Additional inference parameters |
15 |
| - */ |
16 |
| - parameters?: TextGenerationParameters; |
17 |
| - /** |
18 |
| - * Whether to stream output tokens |
19 |
| - */ |
20 |
| - stream?: boolean; |
21 |
| - [property: string]: unknown; |
22 |
| -} |
23 |
| - |
24 |
| -/** |
25 |
| - * Additional inference parameters |
26 |
| - * |
27 |
| - * Additional inference parameters for Text Generation |
28 |
| - */ |
29 |
| -export interface TextGenerationParameters { |
30 |
| - /** |
31 |
| - * The number of sampling queries to run. Only the best one (in terms of total logprob) will |
32 |
| - * be returned. |
33 |
| - */ |
34 |
| - best_of?: number; |
35 |
| - /** |
36 |
| - * Whether or not to output decoder input details |
37 |
| - */ |
38 |
| - decoder_input_details?: boolean; |
39 |
| - /** |
40 |
| - * Whether or not to output details |
41 |
| - */ |
42 |
| - details?: boolean; |
43 |
| - /** |
44 |
| - * Whether to use logits sampling instead of greedy decoding when generating new tokens. |
45 |
| - */ |
46 |
| - do_sample?: boolean; |
47 |
| - /** |
48 |
| - * The maximum number of tokens to generate. |
49 |
| - */ |
50 |
| - max_new_tokens?: number; |
51 |
| - /** |
52 |
| - * The parameter for repetition penalty. A value of 1.0 means no penalty. See [this |
53 |
| - * paper](https://hf.co/papers/1909.05858) for more details. |
54 |
| - */ |
55 |
| - repetition_penalty?: number; |
56 |
| - /** |
57 |
| - * Whether to prepend the prompt to the generated text. |
58 |
| - */ |
59 |
| - return_full_text?: boolean; |
60 |
| - /** |
61 |
| - * The random sampling seed. |
62 |
| - */ |
63 |
| - seed?: number; |
64 |
| - /** |
65 |
| - * Stop generating tokens if a member of `stop_sequences` is generated. |
66 |
| - */ |
67 |
| - stop_sequences?: string[]; |
68 |
| - /** |
69 |
| - * The value used to modulate the logits distribution. |
70 |
| - */ |
71 |
| - temperature?: number; |
72 |
| - /** |
73 |
| - * The number of highest probability vocabulary tokens to keep for top-k-filtering. |
74 |
| - */ |
75 |
| - top_k?: number; |
76 |
| - /** |
77 |
| - * If set to < 1, only the smallest set of most probable tokens with probabilities that add |
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| - * up to `top_p` or higher are kept for generation. |
79 |
| - */ |
80 |
| - top_p?: number; |
81 |
| - /** |
82 |
| - * Truncate input tokens to the given size. |
83 |
| - */ |
84 |
| - truncate?: number; |
85 |
| - /** |
86 |
| - * Typical Decoding mass. See [Typical Decoding for Natural Language |
87 |
| - * Generation](https://hf.co/papers/2202.00666) for more information |
88 |
| - */ |
89 |
| - typical_p?: number; |
90 |
| - /** |
91 |
| - * Watermarking with [A Watermark for Large Language Models](https://hf.co/papers/2301.10226) |
92 |
| - */ |
93 |
| - watermark?: boolean; |
94 |
| - [property: string]: unknown; |
95 |
| -} |
96 |
| - |
97 |
| -/** |
98 |
| - * Outputs for Text Generation inference |
99 |
| - */ |
100 |
| -export interface TextGenerationOutput { |
101 |
| - /** |
102 |
| - * When enabled, details about the generation |
103 |
| - */ |
104 |
| - details?: TextGenerationOutputDetails; |
105 |
| - /** |
106 |
| - * The generated text |
107 |
| - */ |
108 |
| - generated_text: string; |
109 |
| - [property: string]: unknown; |
110 |
| -} |
111 |
| - |
112 |
| -/** |
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| - * When enabled, details about the generation |
114 |
| - */ |
115 |
| -export interface TextGenerationOutputDetails { |
116 |
| - /** |
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| - * Details about additional sequences when best_of is provided |
118 |
| - */ |
119 |
| - best_of_sequences?: TextGenerationOutputSequenceDetails[]; |
120 |
| - /** |
121 |
| - * The reason why the generation was stopped. |
122 |
| - */ |
123 |
| - finish_reason: TextGenerationFinishReason; |
124 |
| - /** |
125 |
| - * The number of generated tokens |
126 |
| - */ |
127 |
| - generated_tokens: number; |
128 |
| - prefill: TextGenerationPrefillToken[]; |
129 |
| - /** |
130 |
| - * The random seed used for generation |
131 |
| - */ |
132 |
| - seed?: number; |
133 |
| - /** |
134 |
| - * The generated tokens and associated details |
135 |
| - */ |
136 |
| - tokens: TextGenerationOutputToken[]; |
137 |
| - /** |
138 |
| - * Most likely tokens |
139 |
| - */ |
140 |
| - top_tokens?: Array<TextGenerationOutputToken[]>; |
141 |
| - [property: string]: unknown; |
142 |
| -} |
143 |
| - |
144 |
| -export interface TextGenerationOutputSequenceDetails { |
145 |
| - finish_reason: TextGenerationFinishReason; |
146 |
| - /** |
147 |
| - * The generated text |
148 |
| - */ |
149 |
| - generated_text: string; |
150 |
| - /** |
151 |
| - * The number of generated tokens |
152 |
| - */ |
153 |
| - generated_tokens: number; |
154 |
| - prefill: TextGenerationPrefillToken[]; |
155 |
| - /** |
156 |
| - * The random seed used for generation |
157 |
| - */ |
158 |
| - seed?: number; |
159 |
| - /** |
160 |
| - * The generated tokens and associated details |
161 |
| - */ |
162 |
| - tokens: TextGenerationOutputToken[]; |
163 |
| - /** |
164 |
| - * Most likely tokens |
165 |
| - */ |
166 |
| - top_tokens?: Array<TextGenerationOutputToken[]>; |
167 |
| - [property: string]: unknown; |
168 |
| -} |
169 |
| - |
170 |
| -export interface TextGenerationPrefillToken { |
171 |
| - id: number; |
172 |
| - logprob: number; |
173 |
| - /** |
174 |
| - * The text associated with that token |
175 |
| - */ |
176 |
| - text: string; |
177 |
| - [property: string]: unknown; |
178 |
| -} |
179 |
| - |
180 |
| -/** |
181 |
| - * Generated token. |
182 |
| - */ |
183 |
| -export interface TextGenerationOutputToken { |
184 |
| - id: number; |
185 |
| - logprob?: number; |
186 |
| - /** |
187 |
| - * Whether or not that token is a special one |
188 |
| - */ |
189 |
| - special: boolean; |
190 |
| - /** |
191 |
| - * The text associated with that token |
192 |
| - */ |
193 |
| - text: string; |
194 |
| - [property: string]: unknown; |
195 |
| -} |
196 |
| - |
197 |
| -/** |
198 |
| - * The reason why the generation was stopped. |
199 |
| - * |
200 |
| - * length: The generated sequence reached the maximum allowed length |
201 |
| - * |
202 |
| - * eos_token: The model generated an end-of-sentence (EOS) token |
203 |
| - * |
204 |
| - * stop_sequence: One of the sequence in stop_sequences was generated |
205 |
| - */ |
206 |
| -export type TextGenerationFinishReason = "length" | "eos_token" | "stop_sequence"; |
| 6 | +export type { TextGenerationInput, TextGenerationOutput }; |
207 | 7 |
|
208 | 8 | /**
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209 | 9 | * Use to continue text from a prompt. This is a very generic task. Recommended model: gpt2 (it’s a simple model, but fun to play with).
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