Instructions to use then/ttest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use then/ttest with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TimesFmModelForPredictionMultiVariate tokenizer = AutoTokenizer.from_pretrained("then/ttest") model = TimesFmModelForPredictionMultiVariate.from_pretrained("then/ttest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from then/ttest: direct link, hf CLI and curl.
- Browser
- Download file 752 Bytes
-
https://huggingface.co/then/ttest/resolve/main/.gitattributes
- Command line
-
hf download hf://then/ttest/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/then/ttest/resolve/main/.gitattributes
752 Bytes
| data/train_data.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| data/train_data_indic.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| data/train_data_indic_v2.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| cp16.zip filter=lfs diff=lfs merge=lfs -text | |
| chatglm_er_lora.zip filter=lfs diff=lfs merge=lfs -text | |
| data/cnn.gif filter=lfs diff=lfs merge=lfs -text | |
| data/train_data.zip filter=lfs diff=lfs merge=lfs -text | |
| data/train_data_indic.txt filter=lfs diff=lfs merge=lfs -text | |
| data/train_data_indic_cy.txt filter=lfs diff=lfs merge=lfs -text | |
| tx/best_model.pt filter=lfs diff=lfs merge=lfs -text | |
| data/train_data_indic_-all-no-bj.txt filter=lfs diff=lfs merge=lfs -text | |
| train.json filter=lfs diff=lfs merge=lfs -text | |