Instructions to use namednil/sip-d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namednil/sip-d4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="namednil/sip-d4", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("namednil/sip-d4", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"SIPFinetuningModel"
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],
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"auto_map": {
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"AutoConfig": "configuration_sip_finetune.SIPFinetuningModelConfig"
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"AutoModel": "modeling_sip_finetune.SIPFinetuningModel",
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"AutoModelForSeq2SeqLM": "modeling_sip_finetune.SIPFinetuningModel"
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},
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"SIPFinetuningModel"
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],
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"auto_map": {
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"AutoConfig": "configuration_sip_finetune.SIPFinetuningModelConfig",
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"AutoModel": "modeling_sip_finetune.SIPFinetuningModel",
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"AutoModelForSeq2SeqLM": "modeling_sip_finetune.SIPFinetuningModel"
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},
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