Instructions to use HoangHa/SMILE-50M-EPOCH40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HoangHa/SMILE-50M-EPOCH40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HoangHa/SMILE-50M-EPOCH40")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HoangHa/SMILE-50M-EPOCH40") model = AutoModelForMaskedLM.from_pretrained("HoangHa/SMILE-50M-EPOCH40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ad9262e7e1e13ec85bae76c893ef72eb082d835b1cad6511dc726a06a12731c
- Size of remote file:
- 220 MB
- SHA256:
- d8d91593241603cbf71f63a66ac0c2dddf2ee7905595e736fa5199b258917f12
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