Instructions to use Adorg/mc231104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adorg/mc231104 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Adorg/mc231104", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Adorg/mc231104", trust_remote_code=True) model = AutoModel.from_pretrained("Adorg/mc231104", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with huggingface_hub
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 454257509
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