Instructions to use bertin-project/bertin-roberta-base-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-roberta-base-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-roberta-base-spanish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-roberta-base-spanish") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-roberta-base-spanish", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5dec74f9c117233e102e62446ca5754eaeafcefa4c889fbead103125df06ed9
- Size of remote file:
- 250 MB
- SHA256:
- e30008348b94d5b0f6d7574d0963e983d7efa42adb7a6bcf8107ace209a0daa8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.