Instructions to use microsoft/trocr-base-stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-base-stage1 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="microsoft/trocr-base-stage1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-base-stage1") model = AutoModelForMultimodalLM.from_pretrained("microsoft/trocr-base-stage1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.e2917ce
-
Adding generation config file(s)
c8ec879
-
Update README.md (#1)
- Update README.md (4cf31df5f2e18af80e1387503560ac42023b7a46) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>5c48f93
-
Remove tokenizer_file
b1460f5
-
Update code example
bcf92dd
-
Fix code example
a0bf60f -
Add model card
4c1f789
-
Rename encoder_hidden_size to cross_attention_hidden_size
78855cf
-
First commit
26a1e3c -
initial commit
bff79bf