Instructions to use Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small") model = AutoModelForSpeechSeq2Seq.from_pretrained("Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small") - Notebooks
- Google Colab
- Kaggle
| { | |
| "version": "1.0", | |
| "truncation": null, | |
| "padding": null, | |
| "added_tokens": [ | |
| { | |
| "id": 0, | |
| "content": "<|endoftext|>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| } | |
| ], | |
| "normalizer": null, | |
| "pre_tokenizer": { | |
| "type": "ByteLevel", | |
| "add_prefix_space": false, | |
| "trim_offsets": true, | |
| "use_regex": true | |
| }, | |
| "post_processor": { | |
| "type": "TemplateProcessing", | |
| "single": [ | |
| { | |
| "SpecialToken": { | |
| "id": "<|endoftext|>", | |
| "type_id": 0 | |
| } | |
| }, | |
| { | |
| "SpecialToken": { | |
| "id": "<|endoftext|>", | |
| "type_id": 0 | |
| } | |
| }, | |
| { | |
| "Sequence": { | |
| "id": "A", | |
| "type_id": 0 | |
| } | |
| }, | |
| { | |
| "SpecialToken": { | |
| "id": "<|endoftext|>", | |
| "type_id": 0 | |
| } | |
| } | |
| ], | |
| "pair": [ | |
| { | |
| "SpecialToken": { | |
| "id": "<|endoftext|>", | |
| "type_id": 0 | |
| } | |
| }, | |
| { | |
| "SpecialToken": { | |
| "id": "<|endoftext|>", | |
| "type_id": 0 | |
| } | |
| }, | |
| { | |
| "Sequence": { | |
| "id": "A", | |
| "type_id": 0 | |
| } | |
| }, | |
| { | |
| "Sequence": { | |
| "id": "B", | |
| "type_id": 1 | |
| } | |
| }, | |
| { | |
| "SpecialToken": { | |
| "id": "<|endoftext|>", | |
| "type_id": 1 | |
| } | |
| } | |
| ], | |
| "special_tokens": { | |
| "<|endoftext|>": { | |
| "id": "<|endoftext|>", | |
| "ids": [ | |
| 0 | |
| ], | |
| "tokens": [ | |
| "<|endoftext|>" | |
| ] | |
| } | |
| } | |
| }, | |
| "decoder": { | |
| "type": "ByteLevel", | |
| "add_prefix_space": true, | |
| "trim_offsets": true, | |
| "use_regex": true | |
| }, | |
| "model": { | |
| "type": "BPE", | |
| "dropout": null, | |
| "unk_token": null, | |
| "continuing_subword_prefix": "", | |
| "end_of_word_suffix": "", | |
| "fuse_unk": false, | |
| "byte_fallback": false, | |
| "ignore_merges": false, | |
| "vocab": {}, | |
| "merges": [] | |
| } | |
| } |