Instructions to use l3cube-pune/marathi-tweets-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/marathi-tweets-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/marathi-tweets-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/marathi-tweets-bert") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/marathi-tweets-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
1c84342 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7f7c5c88ccd932c5ef50ca195417a24c55e05183788c440e6e0b278f92d2e13d
size 951088939
|