Instructions to use mikewang/PVD-160k-Mistral-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikewang/PVD-160k-Mistral-7b 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="mikewang/PVD-160k-Mistral-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mikewang/PVD-160k-Mistral-7b") model = AutoModelForCausalLM.from_pretrained("mikewang/PVD-160k-Mistral-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6140fdd5e7ab4f24284c5b26b085c0f44429e9347831f710f3b576ac431bee42
- Size of remote file:
- 14.5 GB
- SHA256:
- 6fbbad54b344ffc986cd72f49fabbf6452238f7828e9ea9daa2cf5e41ad474c0
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