Instructions to use devonho/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devonho/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devonho/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devonho/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("devonho/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13d58dd15173294e518eda948e654ff252f3aadba4c242668a35b3fd9ac133dd
- Size of remote file:
- 3.96 kB
- SHA256:
- 4e8fbddacf32c4064568fc02f8eba4efd096817f1f73848a0a5e8da6707aa4b5
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