Instructions to use addy88/perceiver_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/perceiver_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addy88/perceiver_imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addy88/perceiver_imdb") model = AutoModelForSequenceClassification.from_pretrained("addy88/perceiver_imdb") - Notebooks
- Google Colab
- Kaggle
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README.md
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Here is how to use this model in PyTorch:
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```python
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from transformers import PerceiverTokenizer, PerceiverForMaskedLM
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tokenizer = PerceiverTokenizer.from_pretrained("
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model = PerceiverForMaskedLM.from_pretrained("
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text = "This is an incomplete sentence where some words are missing."
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# prepare input
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encoding = tokenizer(text, padding="max_length", return_tensors="pt")
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Here is how to use this model in PyTorch:
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```python
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from transformers import PerceiverTokenizer, PerceiverForMaskedLM
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tokenizer = PerceiverTokenizer.from_pretrained("addy88/perceiver_imdb")
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model = PerceiverForMaskedLM.from_pretrained("addy88/perceiver_imdb")
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text = "This is an incomplete sentence where some words are missing."
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# prepare input
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encoding = tokenizer(text, padding="max_length", return_tensors="pt")
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