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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dbc6e873e21147cb907ebdddee7d98e3697d72b2c7533e2c1e1035dff47f22a
- Size of remote file:
- 5.84 kB
- SHA256:
- f59823ea87aecd7c4dd5451c5dbad01722e6a72ba27f86cc28b07161754ec85a
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