Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use cotysong113/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cotysong113/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cotysong113/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cotysong113/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("cotysong113/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cotysong113/my_awesome_model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/cotysong113/my_awesome_model/resolve/main/training_args.bin
- Command line
-
hf download hf://cotysong113/my_awesome_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cotysong113/my_awesome_model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 2d50d3178ec18cfa3e018e85dcf9a719e43cac98a31a78588481df6213c8358a
- Size of remote file:
- 5.3 kB
- SHA256:
- cf32802bc590add65460ae1eefd95dcb7d81d13e0ecf6360d3cd79657f826c4f
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