Instructions to use toolathlonEval/MyAwesomeModel-ReleaseRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolathlonEval/MyAwesomeModel-ReleaseRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolathlonEval/MyAwesomeModel-ReleaseRepo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toolathlonEval/MyAwesomeModel-ReleaseRepo") model = AutoModelForSequenceClassification.from_pretrained("toolathlonEval/MyAwesomeModel-ReleaseRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 980596e0e503262c50298b5e6e8416810bf6682c1570fb54e08fb2583530dc9f
- Size of remote file:
- 39 Bytes
- SHA256:
- c1dd814112ef5b83ac5579427ccbac79a438727eb5b5210dd1ff63ab4909b5eb
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