Instructions to use ZXC12EDSA/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZXC12EDSA/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZXC12EDSA/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ZXC12EDSA/MyAwesomeModel") model = AutoModel.from_pretrained("ZXC12EDSA/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin from step_1000 (best checkpoint, overall score 0.71)
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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oid sha256:965362299a238de576a92dfdd3e32aea7a2bacc94b2c41541c8c9258b923f587
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size 23
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