Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use manjinder/sentiment_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manjinder/sentiment_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manjinder/sentiment_test2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manjinder/sentiment_test2") model = AutoModelForSequenceClassification.from_pretrained("manjinder/sentiment_test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df85a024d4f667b42989fdf2214731abc6bee1d2add9a4b86354e26b9c43cefa
- Size of remote file:
- 3.5 kB
- SHA256:
- b697aedab680dc2f2c5dce26cc4d56ffaf9b0cc8a554975dc48809636e4c1e85
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