Instructions to use NLPC-UOM/SinBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPC-UOM/SinBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLPC-UOM/SinBERT-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NLPC-UOM/SinBERT-small") model = AutoModelForMaskedLM.from_pretrained("NLPC-UOM/SinBERT-small") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
8af914a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d2b1a7535aa31664f43a282b7ec537685916aab41d667570c05141852d796852
size 266384939
|