Instructions to use hieudinhpro/git-base-on-diffuision-dataset2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hieudinhpro/git-base-on-diffuision-dataset2 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="hieudinhpro/git-base-on-diffuision-dataset2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hieudinhpro/git-base-on-diffuision-dataset2") model = AutoModelForMultimodalLM.from_pretrained("hieudinhpro/git-base-on-diffuision-dataset2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hieudinhpro/git-base-on-diffuision-dataset2: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/hieudinhpro/git-base-on-diffuision-dataset2/resolve/115f41930689a2616bd95efa2c433df1cf5cf7d6/training_args.bin
- Command line
-
hf download hf://hieudinhpro/git-base-on-diffuision-dataset2@115f41930689a2616bd95efa2c433df1cf5cf7d6/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hieudinhpro/git-base-on-diffuision-dataset2/resolve/115f41930689a2616bd95efa2c433df1cf5cf7d6/training_args.bin
4.09 kB
- Xet hash:
- 4ad8ed71ad213996f3f210ee7c456397ca1940104f5a8fb4bf51ba5d077b6324
- Size of remote file:
- 4.09 kB
- SHA256:
- ece4e5f55fcb51e15aeb489b024f4cc2c22aaa336ff10131f10c709b0c4a0618
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