Instructions to use SM0rc/blip2-mathleaks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SM0rc/blip2-mathleaks with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-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("visual-question-answering", model="SM0rc/blip2-mathleaks")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SM0rc/blip2-mathleaks") model = AutoModelForMultimodalLM.from_pretrained("SM0rc/blip2-mathleaks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from SM0rc/blip2-mathleaks: direct link, hf CLI and curl.
- Browser
- Download file 986 Bytes
-
https://huggingface.co/SM0rc/blip2-mathleaks/resolve/main/config.json
- Command line
-
hf download hf://SM0rc/blip2-mathleaks/config.json
-
curl -L -o config.json https://huggingface.co/SM0rc/blip2-mathleaks/resolve/main/config.json
986 Bytes
| { | |
| "_name_or_path": "./Salesforce/blip2-opt-2.7b", | |
| "architectures": [ | |
| "Blip2ForConditionalGeneration" | |
| ], | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "model_type": "blip-2", | |
| "num_query_tokens": 32, | |
| "qformer_config": { | |
| "classifier_dropout": null, | |
| "model_type": "blip_2_qformer" | |
| }, | |
| "text_config": { | |
| "_name_or_path": "facebook/opt-2.7b", | |
| "activation_dropout": 0.0, | |
| "architectures": [ | |
| "OPTForCausalLM" | |
| ], | |
| "eos_token_id": 50118, | |
| "ffn_dim": 10240, | |
| "hidden_size": 2560, | |
| "model_type": "opt", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "prefix": "</s>", | |
| "torch_dtype": "float16", | |
| "word_embed_proj_dim": 2560 | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.39.2", | |
| "use_decoder_only_language_model": true, | |
| "vision_config": { | |
| "dropout": 0.0, | |
| "initializer_factor": 1.0, | |
| "model_type": "blip_2_vision_model", | |
| "num_channels": 3, | |
| "projection_dim": 512 | |
| } | |
| } | |