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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("susnato/clvp_dev") model = AutoModel.from_pretrained("susnato/clvp_dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.27cddb0
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change model_max_length to 402.
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remove model_max_length
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add model_max_length to 402
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make add_bos_token and add_eos_token to false
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conversion script changed ln_ namings
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new conversion script
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Update config.json
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Uploaded new saved tokenizer
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same as before
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added eos and bos to True
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changed norms from attn layer to clvpconditioningencoder
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changed pre_batch_norm->rms_
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all models refactored (might be messy)
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all models refactored (might be messy)
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all models refactored (might be messy)
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all models refactored (might be messy)
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all models refactored (might be messy)
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changed RMSNorm
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changed autoregressive_model to speech_autoregressive_model
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trying to do gpt2 weights (might be a totally mess)
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trying to do gpt2 weights (might be a totally mess)
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trying to do gpt2 weights (might be a totally mess)
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trying to do gpt2 weights (might be a totally mess)
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Upload pytorch_model.bin with huggingface_hub
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added `use_attention_bias`
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Update config.json
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Upload pytorch_model.bin with huggingface_hub
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Upload pytorch_model.bin with huggingface_hub
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