Instructions to use togethercomputer/m2-bert-80M-8k-retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use togethercomputer/m2-bert-80M-8k-retrieval with Transformers:
# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("togethercomputer/m2-bert-80M-8k-retrieval", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
GGUF version
#5
by Hoioi - opened
Could you please release the GGUF version of this model?
Hi, thanks for your interest!
This model is a BERT-style model, and it is not Transformer-based. The architecture is Monarch Mixer: https://arxiv.org/abs/2310.12109
GGUF does not currently support BERT-style models or Monarch Mixer, but we’d be happy to add it as a format if it does in the future. You’d have better luck filing an issue with GGML.
See this for their currently supported models: https://github.com/ggerganov/ggml/blob/master/docs/gguf.md#required
Thank you so much for your support.
Hoioi changed discussion status to closed