How to use serdarcaglar/roberta-base-biomedical-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="serdarcaglar/roberta-base-biomedical-es")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("serdarcaglar/roberta-base-biomedical-es") model = AutoModelForMaskedLM.from_pretrained("serdarcaglar/roberta-base-biomedical-es", device_map="auto")
https://huggingface.co/serdarcaglar/roberta-base-biomedical-es/resolve/main/tokenizer.json
hf download hf://serdarcaglar/roberta-base-biomedical-es/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/serdarcaglar/roberta-base-biomedical-es/resolve/main/tokenizer.json
