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:
- b4a3e04641c4f82d9d226569474a5c0728d208a6d72e1acf5bc71d16225697ec
- Size of remote file:
- 4.09 kB
- SHA256:
- c94231569a5d79ed2a1490c79af3fc28fc12dadbd0dc9dd34f3889a27eece8e1
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