Instructions to use medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr") model = AutoModelForTokenClassification.from_pretrained("medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr: direct link, hf CLI and curl.
- Browser
- Download file 441 Bytes
-
https://huggingface.co/medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr/resolve/6d612ed4c1df7669885d06ff89abdc4e14346ba6/tokenizer_config.json
- Command line
-
hf download hf://medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr@6d612ed4c1df7669885d06ff89abdc4e14346ba6/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/medspaner/xlm-roberta-large-spanish-trials-cases-medic-attr/resolve/6d612ed4c1df7669885d06ff89abdc4e14346ba6/tokenizer_config.json
441 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |