Instructions to use kleopatra102/fake2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kleopatra102/fake2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kleopatra102/fake2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kleopatra102/fake2") model = AutoModelForSequenceClassification.from_pretrained("kleopatra102/fake2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kleopatra102/fake2: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/kleopatra102/fake2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kleopatra102/fake2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kleopatra102/fake2/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 0c0baf5d46fbb087252355bae7e6a9f944f299780ba323885bf5132d0881a62c
- Size of remote file:
- 268 MB
- SHA256:
- 8597ed4d5f941016fe3bf45248a04ad5e97ce202fd7a775a3c3c774661b38b8d
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