Instructions to use tcheda/mot_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tcheda/mot_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tcheda/mot_test", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tcheda/mot_test", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
fix config
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -7,7 +7,7 @@
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"auto_map": {
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"AutoConfig": "configuration_mot.MoTConfig",
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"AutoModel": "modeling_mot.MoTModel",
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"AutoModelForCausalLM": "modeling_mot.
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},
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"auto_map": {
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"AutoConfig": "configuration_mot.MoTConfig",
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"AutoModel": "modeling_mot.MoTModel",
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+
"AutoModelForCausalLM": "modeling_mot.MoTLMHeadModel"
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},
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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