Instructions to use betteib/xlm-tn-20epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use betteib/xlm-tn-20epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="betteib/xlm-tn-20epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("betteib/xlm-tn-20epochs") model = AutoModelForMaskedLM.from_pretrained("betteib/xlm-tn-20epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37092bd9b844dbbac9dcfd69c373f12c93773fc6ba193e15227c6e6970012e49
- Size of remote file:
- 469 MB
- SHA256:
- 550abc4f04d5f8b48f461dd3c0b5b679ea6886356bc2043deb7b069e795bea30
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