Instructions to use jeff-RQ/new-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeff-RQ/new-test-model 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="jeff-RQ/new-test-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("jeff-RQ/new-test-model") model = AutoModelForMultimodalLM.from_pretrained("jeff-RQ/new-test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jeff-RQ/new-test-model: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/jeff-RQ/new-test-model/resolve/ae68214f062f75caa8a4d2dacd2ad0d9e4acada8/tokenizer.json
- Command line
-
hf download hf://jeff-RQ/new-test-model@ae68214f062f75caa8a4d2dacd2ad0d9e4acada8/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jeff-RQ/new-test-model/resolve/ae68214f062f75caa8a4d2dacd2ad0d9e4acada8/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.