Instructions to use foster123/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use foster123/test with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("roberta-base") model = PeftModel.from_pretrained(base_model, "foster123/test") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +1 -1
- adapter_model.bin +2 -2
adapter_config.json
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{
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"base_model_name_or_path": "roberta-
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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{
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"base_model_name_or_path": "roberta-base",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:acd5a0965e94af35d5052ff0fc7e00a7fd0e5f98d2305fa8dbe48c3af7df5641
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size 3567053
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