Instructions to use syssec-utd/py314-pylingual-v5-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v5-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="syssec-utd/py314-pylingual-v5-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v5-mlm") model = AutoModelForMaskedLM.from_pretrained("syssec-utd/py314-pylingual-v5-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Trained on syssec-utd/segmentation-py314-pylingual-v5 using syssec-utd/py314-pylingual-v5-tokenizer
Browse files
README.md
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# py314-pylingual-v5-mlm
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This model is a fine-tuned version of [](https://huggingface.co/) on
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## Model description
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# py314-pylingual-v5-mlm
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This model is a fine-tuned version of [](https://huggingface.co/) on the syssec-utd/segmentation-py314-pylingual-v5 dataset.
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## Model description
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