Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pknayak/gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pknayak/gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pknayak/gpu")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pknayak/gpu") model = AutoModelForSequenceClassification.from_pretrained("pknayak/gpu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f95c084a778d61c714e4893754f23587ee0f650167fdddf340c23675baec92c3
- Size of remote file:
- 5.18 kB
- SHA256:
- 41c0c122ca493c6607ba119b8d2c052d717613b3a0241416c0ec7e6af244e79a
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