Instructions to use TinyPixel/output-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/output-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PY007/TinyLlama-1.1B-step-50K-105b") model = PeftModel.from_pretrained(base_model, "TinyPixel/output-2") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- adapter_config.json +1 -1
- adapter_model.bin +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +347 -197
- training_args.bin +1 -1
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| 744 |
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| 745 |
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| 746 |
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| 747 |
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| 749 |
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| 751 |
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| 753 |
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| 754 |
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| 755 |
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| 756 |
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| 757 |
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| 759 |
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| 760 |
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| 761 |
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| 766 |
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training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
size 3963
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:6c41e7e7909f822e649a159e03c3918f946633f35bcdf29a5fc019fb7ac23ff5
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| 3 |
size 3963
|