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 pytorch_model.bin from phi0108/feel_me: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/phi0108/feel_me/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://phi0108/feel_me@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/phi0108/feel_me/resolve/refs%2Fpr%2F1/pytorch_model.bin
268 MB
- Xet hash:
- c24f91424524950ff4a0cd6a52d43f83980c3345e5ef12c5a83ff7a21929c0ef
- Size of remote file:
- 268 MB
- SHA256:
- 4ee69cf5331847a89859702b0cc7eefeb8ae09a65b3ae836f5929e5103c1d197
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