Instructions to use softocean/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use softocean/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="softocean/my_awesome_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("softocean/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("softocean/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Merge branch 'main' of https://huggingface.co/softocean/my_awesome_model into main
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move files from checkpoint-12500 up one dir
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Create README.md
add a model file4a80d1c -
initial model smallbenchnlp/bert-small trained on imdb
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initial commit
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