Instructions to use susnato/clvp_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/clvp_dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="susnato/clvp_dev")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("susnato/clvp_dev") model = AutoModel.from_pretrained("susnato/clvp_dev") - Notebooks
- Google Colab
- Kaggle
change model_max_length to 402.
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -41,7 +41,7 @@
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"clean_up_tokenization_spaces": true,
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"eos_token": "[STOP]",
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"errors": "replace",
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-
"model_max_length":
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| 45 |
"pad_token": "[STOP]",
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"tokenizer_class": "ClvpTokenizer",
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"tokenizer_file": "/home/susnato/.cache/huggingface/hub/models--susnato--clvp_dev/snapshots/75fdab928ec8ef23e0f66bb0bf70518989388456/tokenizer.json",
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| 41 |
"clean_up_tokenization_spaces": true,
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| 42 |
"eos_token": "[STOP]",
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| 43 |
"errors": "replace",
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| 44 |
+
"model_max_length": 402,
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| 45 |
"pad_token": "[STOP]",
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| 46 |
"tokenizer_class": "ClvpTokenizer",
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"tokenizer_file": "/home/susnato/.cache/huggingface/hub/models--susnato--clvp_dev/snapshots/75fdab928ec8ef23e0f66bb0bf70518989388456/tokenizer.json",
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