Instructions to use CataME/tp_nlp_Ruperta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CataME/tp_nlp_Ruperta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CataME/tp_nlp_Ruperta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("CataME/tp_nlp_Ruperta") model = AutoModel.from_pretrained("CataME/tp_nlp_Ruperta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from CataME/tp_nlp_Ruperta: direct link, hf CLI and curl.
- Browser
- Download file 1.29 kB
-
https://huggingface.co/CataME/tp_nlp_Ruperta/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://CataME/tp_nlp_Ruperta/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/CataME/tp_nlp_Ruperta/resolve/main/tokenizer_config.json
1.29 kB
| {"errors": "replace", "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "trim_offsets": true, "special_tokens_map_file": "/root/.cache/huggingface/transformers/199ac15ad8f31a9c691ee1721f77e5417428fe4cb8a0d06e3aa5bf2167a4cf2c.0dc5b1041f62041ebbd23b1297f2f573769d5c97d8b7c28180ec86b8f6185aa8", "name_or_path": "mrm8488/RuPERTa-base", "tokenizer_class": "RobertaTokenizer"} |