Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use chjun/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chjun/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chjun/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chjun/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("chjun/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from chjun/my_awesome_model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/chjun/my_awesome_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://chjun/my_awesome_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chjun/my_awesome_model/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- eacc51ad719f9f6cbf8e5b1833f44f22430e4e59cae1f74f4550317f6aa56fe6
- Size of remote file:
- 268 MB
- SHA256:
- c0b31478a1b2c3d377d8be17be24c742f1538f2efa0bffe2c0e38277c8fe233e
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