Instructions to use Hansollllll/awesomeeeeee_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hansollllll/awesomeeeeee_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hansollllll/awesomeeeeee_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hansollllll/awesomeeeeee_model") model = AutoModelForSequenceClassification.from_pretrained("Hansollllll/awesomeeeeee_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0aa49164f5958803947005f53eedff61407f05ea573ef943a72380c65c717ec8
- Size of remote file:
- 98.7 MB
- SHA256:
- 28205868d0afe187aab55d7464106f0fa62c40fcf8247bead466a2c68049aa75
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