Instructions to use eeeeerrrr4/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eeeeerrrr4/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eeeeerrrr4/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("eeeeerrrr4/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("eeeeerrrr4/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +16 -0
- pytorch_model.bin +3 -0
config.json
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{
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"model_type": "bert",
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"architectures": [
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"BertModel"
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],
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"finetuning_task": "single_label_classification",
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"transformers_version": "4.49.0"
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}
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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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