Instructions to use benjamin/zett-hypernetwork-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/zett-hypernetwork-xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="benjamin/zett-hypernetwork-xlm-roberta-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("benjamin/zett-hypernetwork-xlm-roberta-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from benjamin/zett-hypernetwork-xlm-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 82.6 MB
-
https://huggingface.co/benjamin/zett-hypernetwork-xlm-roberta-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://benjamin/zett-hypernetwork-xlm-roberta-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/benjamin/zett-hypernetwork-xlm-roberta-base/resolve/main/flax_model.msgpack
82.6 MB
- Xet hash:
- 59426cbcab3276a1418a0e7508a3e0553592e130b82bd7cad951822e34894291
- Size of remote file:
- 82.6 MB
- SHA256:
- 02fec80c457b191322cae9564b150584c7b17db1779d8f9f0d414d7e5f776a6e
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