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
File size: 136 Bytes
3e1f7b5 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"pad_token_id": 32000,
"transformers_version": "4.41.1"
}
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