Instructions to use BSC-LT/roberta-base-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/roberta-base-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BSC-LT/roberta-base-ca")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BSC-LT/roberta-base-ca") model = AutoModelForMaskedLM.from_pretrained("BSC-LT/roberta-base-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
bsc-temu commited on
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README.md
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``` python
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from transformers import AutoTokenizer, AutoModelForMaskedLM
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForMaskedLM.from_pretrained("
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```
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## Fill Mask task
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```python
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>>> from transformers import pipeline
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>>> unmasker = pipeline('fill-mask', model='
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>>> unmasker("Situada a la costa de la mar Mediterrània, <mask> s'assenta en una plana formada "
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"entre els deltes de les desembocadures dels rius Llobregat, al sud-oest, "
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"i Besòs, al nord-est, i limitada pel sud-est per la línia de costa,"
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``` python
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from transformers import AutoTokenizer, AutoModelForMaskedLM
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tokenizer = AutoTokenizer.from_pretrained("BSC-TeMU/roberta-base-ca-cased")
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model = AutoModelForMaskedLM.from_pretrained("BSC-TeMU/roberta-base-ca-cased")
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```
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## Fill Mask task
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```python
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>>> from transformers import pipeline
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>>> unmasker = pipeline('fill-mask', model='BSC-TeMU/roberta-base-ca-cased')
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>>> unmasker("Situada a la costa de la mar Mediterrània, <mask> s'assenta en una plana formada "
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"entre els deltes de les desembocadures dels rius Llobregat, al sud-oest, "
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"i Besòs, al nord-est, i limitada pel sud-est per la línia de costa,"
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