Instructions to use chandar-lab/NeoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chandar-lab/NeoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chandar-lab/NeoBERT", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("chandar-lab/NeoBERT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Tokenizer cannot recognise unused tokens in its vocab
#13 opened 6 months ago
by
ArvinZhuang
Request to add support for gradient checkpoint
#12 opened 11 months ago
by
meetdoshi90
add-AutoModelForTokenClassification
1
#11 opened 11 months ago
by
marinapLC
add AIBOM
π 1
#10 opened 11 months ago
by
RiccardoDav
make xformers an optional dependency
π₯ 3
3
#6 opened about 1 year ago
by
NyxKrage
Do you really use flash attention?
π 3
1
#5 opened about 1 year ago
by
GinnM
Error with long text
π 1
#4 opened about 1 year ago
by
hoan