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:
- 6c8b73b24e244e717791cecb3e944f941b1854045f04dcf5e91ca556306d7019
- Size of remote file:
- 268 MB
- SHA256:
- fbf071ab83275f2dc05a415c924040a3cc8eac1b3111ca7564c3687aef34e9a1
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