Instructions to use satyaalmasian/temporal_tagger_BERT_tokenclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satyaalmasian/temporal_tagger_BERT_tokenclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="satyaalmasian/temporal_tagger_BERT_tokenclassifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("satyaalmasian/temporal_tagger_BERT_tokenclassifier") model = AutoModelForTokenClassification.from_pretrained("satyaalmasian/temporal_tagger_BERT_tokenclassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (34747f6d9b5024e7334b416ac149d5087b9911e7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3b4029b
-
Update README.md
46bdd51 -
Create README.md
6f162cd
-
add model
Shideh Almasian65d2d2a -
add model
Shideh Almasianb666de1 -
add model
Shideh Almasiandccf597 -
initial commit
f6f702f