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
Commit History
-
Upload train.json
Verified signatureb293dc0
-
Upload data/train_data_indic_-all-no-bj.txt with huggingface_hub
Verified signatureea6e1c9
-
Upload tx/best_model.pt with huggingface_hub
Verified signaturefda48d6
-
Upload data/train_data_indic_cy.txt with huggingface_hub
Verified signature53384f3
-
Upload data/train_data_indic.txt with huggingface_hub
Verified signature0d32ea8
-
Upload data/train_data.zip with huggingface_hub
Verified signature051af8b -
Upload cnn.gif
Verified signaturea2e55b7
-
Upload chatglm_er_lora.zip
Verified signature38f48db
-
Upload cp16.zip
Verified signature2254915
-
Upload data/train_data_indic_v2.tar.gz with huggingface_hub
Verified signaturea090f2f
-
Upload model.safetensors
Verified signaturefe7babb
-
Upload data/train_data_indic.tar.gz with huggingface_hub
Verified signatureea4f04b
-
Upload data/train_data.tar.gz with huggingface_hub
Verified signatured6f2100
-
Delete .gitattributes
970abfe
-
凤凰
c98bcf5
-
initial commit
b1bd985