Instructions to use Roy029/codefix_e20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/codefix_e20 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/codefix_e20") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/codefix_e20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Roy029/codefix_e20: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/Roy029/codefix_e20/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://Roy029/codefix_e20@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Roy029/codefix_e20/resolve/refs%2Fpr%2F1/tokenizer_config.json
280 Bytes
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "name_or_path": "Roy029/mpyt5_e20", "sp_model_kwargs": {}, "special_tokens_map_file": "special_tokens_map.json", "is_fast": true, "tokenizer_class": "T5Tokenizer"} |