Instructions to use serdarcaglar/roberta-base-biomedical-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# 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") - Notebooks
- Google Colab
- Kaggle
Commit ·
dbbe960
1
Parent(s): 00c147c
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (6d45848cb62cd65fb28897a8500b1e05f87bf3dd)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>