Instructions to use nllg/bygpt5-small-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nllg/bygpt5-small-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nllg/bygpt5-small-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("nllg/bygpt5-small-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from nllg/bygpt5-small-en: direct link, hf CLI and curl.
- Browser
- Download file 3.56 kB
-
https://huggingface.co/nllg/bygpt5-small-en/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://nllg/bygpt5-small-en/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/nllg/bygpt5-small-en/resolve/main/tokenizer_config.json
3.56 kB
| { | |
| "add_bos_token": false, | |
| "add_eos_token": false, | |
| "add_prefix_space": false, | |
| "additional_special_tokens": [ | |
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| ], | |
| "eos_token": { | |
| "__type": "AddedToken", | |
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| "normalized": true, | |
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| "pad_token": { | |
| "__type": "AddedToken", | |
| "content": "<pad>", | |
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| "normalized": true, | |
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| "special_tokens_map_file": "/home/jbelouadi/.cache/huggingface/transformers/3715c3de7f5eda8f5c9274c55ea8e8632fe6e4cdfdf8e9066ae173b956cd9b80.063895353d5ef9e19a25220cb616c43abc5e84a2f11b1ffb71c29e097572a109", | |
| "tokenizer_class": "ByGPT5Tokenizer", | |
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| } | |
| } | |