Instructions to use euclaise/Ferret-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use euclaise/Ferret-3B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="euclaise/Ferret-3B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("euclaise/Ferret-3B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from euclaise/Ferret-3B: direct link, hf CLI and curl.
- Browser
- Download file 5.59 GB
-
https://huggingface.co/euclaise/Ferret-3B/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://euclaise/Ferret-3B/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/euclaise/Ferret-3B/resolve/main/pytorch_model.bin
5.59 GB
- Xet hash:
- 45bb7363be10b78ba928cddb679b13ea554d34c42c6bfe365754d4136133ac55
- Size of remote file:
- 5.59 GB
- SHA256:
- 8111394cb153acca41aaebea73c4fbfafff7eb812e7c5148d810420af48470b9
路
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