Instructions to use togethercomputer/m2-bert-80M-8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use togethercomputer/m2-bert-80M-8k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="togethercomputer/m2-bert-80M-8k", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("togethercomputer/m2-bert-80M-8k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
320224a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a7e37c447d5fec5032e5bb202152285809f78a5c8e33ad68d8cc04e16b88995a
size 350886881
|