Instructions to use cammy/glm-roberta-large-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cammy/glm-roberta-large-finetune with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cammy/glm-roberta-large-finetune", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("cammy/glm-roberta-large-finetune", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc504c534de4d05855620f3d42c2df7e733819c887ff427195a32253efc3a380
- Size of remote file:
- 3.52 kB
- SHA256:
- c982e87f3c71edd7737d154487f528f6fd81a1823215d8f3567a763b1bb7752b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.