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:
- a4e19467ac051b49bbe7adda32c94e103655f915e924bddca63566020da5bbc1
- Size of remote file:
- 268 MB
- SHA256:
- 1f6d94899ffd3d37d95fa62e6641166260a1a633bac4ae93616d42f29d382af5
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