Instructions to use syssec-utd/py314-pylingual-v8-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v8-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="syssec-utd/py314-pylingual-v8-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v8-mlm") model = AutoModelForMaskedLM.from_pretrained("syssec-utd/py314-pylingual-v8-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3149cdb17db689b7007c04239af4e9601eecdd80dc02f53a8844ac10b90be99b
- Size of remote file:
- 5.27 kB
- SHA256:
- a59e52064015bc899138bf973056a27db5e97638443a7da29448a7bb0df28134
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