Instructions to use DattaUgale/my_bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DattaUgale/my_bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DattaUgale/my_bert_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DattaUgale/my_bert_model") model = AutoModelForSequenceClassification.from_pretrained("DattaUgale/my_bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturef6103fc -
Upload tokenizer
Verified signature5ca78ab -
Upload BertForSequenceClassification
Verified signaturefefe102
-
Update README.md
Verified signature937a422 -
Upload tokenizer
Verified signature32553b1 -
Upload BertForSequenceClassification
Verified signature497e682 -
initial commit
Verified signature1129869