Instructions to use n0w0f/MatText-composition-2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use n0w0f/MatText-composition-2m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="n0w0f/MatText-composition-2m")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("n0w0f/MatText-composition-2m") model = AutoModel.from_pretrained("n0w0f/MatText-composition-2m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b79a9820ae9e5013c3e9fb18c6910457ee8262fffe5b54c46dbec4b18a6748c9
- Size of remote file:
- 131 MB
- SHA256:
- 132d5460346746d9869b9add415dbc10f256e1b4f9129d12f2f78e00f5c0c973
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