Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use manjinder/sentiment_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manjinder/sentiment_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manjinder/sentiment_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manjinder/sentiment_test") model = AutoModelForSequenceClassification.from_pretrained("manjinder/sentiment_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df4ad6cb40153c9915d4c183028ce472c8bf4f45731af117f28baa2030f125bf
- Size of remote file:
- 268 MB
- SHA256:
- 7c9e5633074fbf5d90807622072728399cbeed49e4c7e875758343a1c7f3f517
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