How to use IIC/BETO_Galen-meddocan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IIC/BETO_Galen-meddocan")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/BETO_Galen-meddocan") model = AutoModelForSequenceClassification.from_pretrained("IIC/BETO_Galen-meddocan", device_map="auto")
https://huggingface.co/IIC/BETO_Galen-meddocan/resolve/main/tokenizer.json
hf download hf://IIC/BETO_Galen-meddocan/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/IIC/BETO_Galen-meddocan/resolve/main/tokenizer.json
