Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use devangb4/bert-drug-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devangb4/bert-drug-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devangb4/bert-drug-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devangb4/bert-drug-classification") model = AutoModelForSequenceClassification.from_pretrained("devangb4/bert-drug-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96bfe51556be1187a0c0d558c100e05c3ea4ed32211ce0c681115394968eedcf
- Size of remote file:
- 436 MB
- SHA256:
- e90ea64c5e5b172c60b6398fd86072050272278f8e122c557b1e8cf16cb6e469
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