Instructions to use vesteinn/FoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/FoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vesteinn/FoBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vesteinn/FoBERT") model = AutoModelForMaskedLM.from_pretrained("vesteinn/FoBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (57155e59c588f7ac5c17a9558d6f0ea97ef943f7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>25c1abb -
Update README.md
8f5ad6e -
Added model
b76bd44 -
Update README.md
85f3b76 -
Update README.md
aa14981 -
initial commit
ad2a99e