Feature Extraction
Transformers
Safetensors
internlm2
llama-factory
full
Generated from Trainer
custom_code
Instructions to use anthonymeo/full-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anthonymeo/full-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="anthonymeo/full-train", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anthonymeo/full-train", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from anthonymeo/full-train: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
-
https://huggingface.co/anthonymeo/full-train/resolve/main/generation_config.json
- Command line
-
hf download hf://anthonymeo/full-train/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/anthonymeo/full-train/resolve/main/generation_config.json
123 Bytes
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": [ | |
| 2, | |
| 92542 | |
| ], | |
| "pad_token_id": 2, | |
| "transformers_version": "4.44.2" | |
| } | |