Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Bhaveen/GenAI_Lab3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bhaveen/GenAI_Lab3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bhaveen/GenAI_Lab3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bhaveen/GenAI_Lab3") model = AutoModelForSequenceClassification.from_pretrained("Bhaveen/GenAI_Lab3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7710d4f6409490218532b0c457dfaa57039df40dc2c051b9bfb879ae608ac2bd
- Size of remote file:
- 5.3 kB
- SHA256:
- 252313da63b02dc7d0778e6668c53d0e7088fcf0164c56f35d36349a76fe8586
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