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 training_args.bin from chjun/my_awesome_model: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/chjun/my_awesome_model/resolve/main/training_args.bin
- Command line
-
hf download hf://chjun/my_awesome_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chjun/my_awesome_model/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 8dd4f1c079325fe6134a54e33928f7c574744382f68547e5a46661ff798acdb5
- Size of remote file:
- 3.52 kB
- SHA256:
- f5987939748487b39af7485aa6acaf049daf30748c1ca0b47cd3a1b6e6920893
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