Instructions to use keepitreal/mini-phobert-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keepitreal/mini-phobert-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="keepitreal/mini-phobert-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("keepitreal/mini-phobert-v2") model = AutoModelForMaskedLM.from_pretrained("keepitreal/mini-phobert-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bfd19d1d2e666ecf7013649e6dfc23769269d4dd05d6ff38734bc2a996462b1
- Size of remote file:
- 81.4 MB
- SHA256:
- c653254b850092529f2243ef9d7cd4bd01f320f5dcdf0e13c949f3e5e5bcd6ac
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