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")
# 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")
https://huggingface.co/fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl/resolve/main/tokenizer.json
hf download hf://fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/fedeortegariba/roberta-es-clinical-trials-ner-fd-text_cl/resolve/main/tokenizer.json
