Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use phi0108/feel_me with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phi0108/feel_me with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phi0108/feel_me")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phi0108/feel_me") model = AutoModelForSequenceClassification.from_pretrained("phi0108/feel_me", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from phi0108/feel_me: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/phi0108/feel_me/resolve/main/training_args.bin
- Command line
-
hf download hf://phi0108/feel_me/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/phi0108/feel_me/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- b65f1c7807ee1553183ff2901c1b66a53468d0e53b5f1c1fb5344382ea15e0e0
- Size of remote file:
- 3.52 kB
- SHA256:
- 6b5f993f97d9ee20485e8f62631020a4be9ffd1db0157addea63c9b79d9e3aef
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