Instructions to use luffycodes/parallel-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luffycodes/parallel-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="luffycodes/parallel-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("luffycodes/parallel-roberta-large") model = AutoModelForMaskedLM.from_pretrained("luffycodes/parallel-roberta-large") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -12,10 +12,12 @@ To use this model, use the following [paf_modeling_roberta.py](https://github.co
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## Here is how to use this model to get the features of a given text in PyTorch
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```python
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from paf_modeling_roberta import RobertaModel
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model = RobertaModel.from_pretrained('luffycodes/parallel-roberta-large')
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text = "Replace me by any text you'd like."
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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## Here is how to use this model to get the features of a given text in PyTorch
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```python
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# use paf_modeling_roberta.py instead of modeling_roberta
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from paf_modeling_roberta import RobertaModel
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from transformers import RobertaTokenizer
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model = RobertaModel.from_pretrained('luffycodes/parallel-roberta-large')
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tokenizer = RobertaTokenizer.from_pretrained('roberta-large')
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text = "Replace me by any text you'd like."
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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