How to use SixOpen/HARE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SixOpen/HARE", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SixOpen/HARE", trust_remote_code=True, device_map="auto")
How to use SixOpen/HARE with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
https://huggingface.co/SixOpen/HARE/resolve/main/tokenizer.json
hf download hf://SixOpen/HARE/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/SixOpen/HARE/resolve/main/tokenizer.json
