Instructions to use lamm-mit/Cephalo-LaTeX-Phi-3-vision-128k-4b-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lamm-mit/Cephalo-LaTeX-Phi-3-vision-128k-4b-beta with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" 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("image-to-text", model="lamm-mit/Cephalo-LaTeX-Phi-3-vision-128k-4b-beta", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("lamm-mit/Cephalo-LaTeX-Phi-3-vision-128k-4b-beta", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c1739403f87f40c3a53113c8c181bfbacf3be2ef0ffbadca3d98c2910620d84
- Size of remote file:
- 3.35 GB
- SHA256:
- aef2ecd2e33bf39236b24189b61f84a2463a7b0a8b203a981940c1b37af6a938
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