Instructions to use katuni4ka/tiny-random-chatglm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katuni4ka/tiny-random-chatglm2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="katuni4ka/tiny-random-chatglm2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("katuni4ka/tiny-random-chatglm2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from katuni4ka/tiny-random-chatglm2: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
-
https://huggingface.co/katuni4ka/tiny-random-chatglm2/resolve/refs%2Fpr%2F1/generation_config.json
- Command line
-
hf download hf://katuni4ka/tiny-random-chatglm2@refs/pr/1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/katuni4ka/tiny-random-chatglm2/resolve/refs%2Fpr%2F1/generation_config.json
111 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.38.1" | |
| } | |