Instructions to use Cyleux/checkpoint-42500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cyleux/checkpoint-42500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cyleux/checkpoint-42500")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cyleux/checkpoint-42500") model = AutoModelForSequenceClassification.from_pretrained("Cyleux/checkpoint-42500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46a6c3a4fe77657e0b6fede652c01d918bd1b7c5403412f4db8461ac81ec156d
- Size of remote file:
- 536 MB
- SHA256:
- 5047f0d2fe866789d45bcec22ef7a426641f4892af729c9fcc9f5b22fbab12a4
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