Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use hucruz/test-mac-411 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hucruz/test-mac-411 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hucruz/test-mac-411")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hucruz/test-mac-411") model = AutoModelForSequenceClassification.from_pretrained("hucruz/test-mac-411", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b98c64d30dedbcf2665965120371fa452c4b18e1e948dd8d1205573590e1bb0
- Size of remote file:
- 269 MB
- SHA256:
- 2922abcf35dbab9c0826c3a2c6cbf7cdca36130e1e6606a3838618dfd3e90464
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