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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from Cyleux/checkpoint-42500: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Cyleux/checkpoint-42500/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Cyleux/checkpoint-42500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Cyleux/checkpoint-42500/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- c06996838eb2cfb93a4a7aafc1563201aca18baf4867c4086efdbeb6dcab80a9
- Size of remote file:
- 268 MB
- SHA256:
- f12d8171df34a1f0f5cb8ac6ec27bfd6a80b77737dddf16eb8eabfebc6e09d10
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