Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use eazzy/classfier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eazzy/classfier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eazzy/classfier-chapter4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eazzy/classfier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("eazzy/classfier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eazzy/classfier-chapter4: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/eazzy/classfier-chapter4/resolve/main/training_args.bin
- Command line
-
hf download hf://eazzy/classfier-chapter4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eazzy/classfier-chapter4/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- c394094511265349d40c7bf3fe058282e150761989c4467ff125a1679e2f8aed
- Size of remote file:
- 5.78 kB
- SHA256:
- 2fdfb4161ce1974e790c6dcbe5a1dd32b69d445f9072b45c0fb3cc8b441a80b6
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