Instructions to use SOTAagi2030/ZenithAI-TestRepo-r21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SOTAagi2030/ZenithAI-TestRepo-r21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SOTAagi2030/ZenithAI-TestRepo-r21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SOTAagi2030/ZenithAI-TestRepo-r21") model = AutoModel.from_pretrained("SOTAagi2030/ZenithAI-TestRepo-r21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from SOTAagi2030/ZenithAI-TestRepo-r21: direct link, hf CLI and curl.
- Browser
- Download file 79 Bytes
-
https://huggingface.co/SOTAagi2030/ZenithAI-TestRepo-r21/resolve/main/config.json
- Command line
-
hf download hf://SOTAagi2030/ZenithAI-TestRepo-r21/config.json
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curl -L -o config.json https://huggingface.co/SOTAagi2030/ZenithAI-TestRepo-r21/resolve/main/config.json
79 Bytes
| { | |
| "model_type": "bert", | |
| "architectures": [ | |
| "BertModel" | |
| ] | |
| } | |