Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use BucketOfFish/huggingface_push_to_hub_tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BucketOfFish/huggingface_push_to_hub_tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BucketOfFish/huggingface_push_to_hub_tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BucketOfFish/huggingface_push_to_hub_tutorial") model = AutoModelForSequenceClassification.from_pretrained("BucketOfFish/huggingface_push_to_hub_tutorial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d86f4807c432b2d5a89474f848e5d7ae148184c7f10b9c3c3bb03fa4af22f755
- Size of remote file:
- 438 MB
- SHA256:
- 522f522f3ed40e67cb9ad426b08a432e2f5280ae788d491665809359ec90bfaa
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