Instructions to use modularStarEncoder/ModularStarEncoder-finetuned-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modularStarEncoder/ModularStarEncoder-finetuned-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="modularStarEncoder/ModularStarEncoder-finetuned-9", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("modularStarEncoder/ModularStarEncoder-finetuned-9", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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from transformers import AutoTokenizer
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#import the model
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model = AutoModel.from_pretrained("andreagurioli1995/ModularStarEncoder-finetuned", trust_remote_code=True)
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#import the tokenizer, the tokenizer applies LEFT padding!
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tokenizer = AutoTokenizer.from_pretrained("andreagurioli1995/ModularStarEncoder-finetuned")
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language = "yourlanguagelowercased"
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from transformers import AutoTokenizer
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#import the model
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model = AutoModel.from_pretrained("andreagurioli1995/ModularStarEncoder-finetuned-9", trust_remote_code=True)
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#import the tokenizer, the tokenizer applies LEFT padding!
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tokenizer = AutoTokenizer.from_pretrained("andreagurioli1995/ModularStarEncoder-finetuned-9")
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language = "yourlanguagelowercased"
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