Instructions to use syssec-utd/py314-pylingual-v6-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v6-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="syssec-utd/py314-pylingual-v6-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v6-mlm") model = AutoModelForMaskedLM.from_pretrained("syssec-utd/py314-pylingual-v6-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8a62f7fecb3f9da8b47a8b74ef67ef23db61b29667d43d8dde881c57adfd23c
- Size of remote file:
- 5.27 kB
- SHA256:
- 02393f940d1f4b57f57328f15c82e6e4a618e65ce074cfc535a591b6c0371dc9
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