Instructions to use bbaaaa/myfork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bbaaaa/myfork with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bbaaaa/myfork")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bbaaaa/myfork") model = AutoModel.from_pretrained("bbaaaa/myfork") - Notebooks
- Google Colab
- Kaggle
Fix code example
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README.md
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@@ -26,8 +26,8 @@ Here is how to use this model in PyTorch:
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```python
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from transformers import BartTokenizer, BartModel
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tokenizer = BartTokenizer.from_pretrained('facebook/bart-
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model = BartModel.from_pretrained('facebook/bart-
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inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
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outputs = model(**inputs)
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```python
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from transformers import BartTokenizer, BartModel
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tokenizer = BartTokenizer.from_pretrained('facebook/bart-base')
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model = BartModel.from_pretrained('facebook/bart-base')
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inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
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outputs = model(**inputs)
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