Instructions to use cdong/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdong/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cdong/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cdong/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("cdong/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cdong/my_awesome_model: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/cdong/my_awesome_model/resolve/main/training_args.bin
- Command line
-
hf download hf://cdong/my_awesome_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cdong/my_awesome_model/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- 63c9a15aa17c6a15b90836483a7d260c79eae615d5d8f8b2073bda049b92595d
- Size of remote file:
- 4.47 kB
- SHA256:
- 340cde068031bb96fd3dcac61ea98bf75ec51b5c54cd3029555eda2118348a80
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