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:
- 7a3fe5e576d0824def841705a3480f1a4bdd47118d00b5de02c3ed0ce097472b
- Size of remote file:
- 3.9 kB
- SHA256:
- ba5fd718012f6fed569ed14128968b93ae4bcdce34b27b24114944159974fb4d
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