Instructions to use HackMIT/double-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HackMIT/double-agent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HackMIT/double-agent")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HackMIT/double-agent") model = AutoModelForSequenceClassification.from_pretrained("HackMIT/double-agent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HackMIT/double-agent: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/HackMIT/double-agent/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HackMIT/double-agent/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HackMIT/double-agent/resolve/main/pytorch_model.bin
17.6 MB
- Xet hash:
- a79b7766c5443819649cc083a4a7dd646e12a53f06cf79b09e9d1d6558883fa6
- Size of remote file:
- 17.6 MB
- SHA256:
- 54388983ccaf7f4559f365d10bbd37703a593e8b454f30773701c625907e1bc2
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