Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl") model = AutoModelForSequenceClassification.from_pretrained("fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl: direct link, hf CLI and curl.
- Browser
- Download file 957 Bytes
-
https://huggingface.co/fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl/resolve/main/special_tokens_map.json
957 Bytes
| { | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "cls_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |