Instructions to use Junrulu/MemoChat-Fastchat-T5-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Junrulu/MemoChat-Fastchat-T5-3B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Junrulu/MemoChat-Fastchat-T5-3B") model = AutoModelForSeq2SeqLM.from_pretrained("Junrulu/MemoChat-Fastchat-T5-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
907aa76 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5dd225effacd4822e787b5f66b83bb25c51eb68709717f589ec0870ef41db5d6
size 5699448549
|