Instructions to use trietbui/instructblip-flan-t5-xxl-kvasir-vqa-x1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trietbui/instructblip-flan-t5-xxl-kvasir-vqa-x1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/instructblip-flan-t5-xxl") model = PeftModel.from_pretrained(base_model, "trietbui/instructblip-flan-t5-xxl-kvasir-vqa-x1") - Transformers
How to use trietbui/instructblip-flan-t5-xxl-kvasir-vqa-x1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trietbui/instructblip-flan-t5-xxl-kvasir-vqa-x1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +952 -608
- training_args.bin +1 -1
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| 1723 |
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| 1724 |
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{
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| 1725 |
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| 1726 |
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| 1727 |
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| 1728 |
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| 1729 |
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| 1730 |
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| 1731 |
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| 1732 |
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| 1733 |
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| 1734 |
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| 1735 |
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| 1737 |
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|
| 1738 |
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|
| 1739 |
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|
| 1740 |
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|
|
|
|
| 1754 |
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|
| 1755 |
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|
| 1756 |
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|
| 1757 |
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|
| 1758 |
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| 1759 |
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| 1760 |
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training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
size 5905
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:34f3d9eddddeae9f03bab89c311988daae534bc143c2b2742a73d1f5370d53f7
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| 3 |
size 5905
|