Instructions to use anamoha/my_awesome_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anamoha/my_awesome_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anamoha/my_awesome_model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anamoha/my_awesome_model2") model = AutoModelForSequenceClassification.from_pretrained("anamoha/my_awesome_model2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea2e14391e6dc2a53f72ae25d52d6e8f7889b30fecf9e2ca8b19a34b5a53404f
- Size of remote file:
- 438 MB
- SHA256:
- f6d597f61db971ed504b3176bd8e7490504e3bdbea5f0595a4399ae1c0d76042
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