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 eval_results.json from anthonymeo/full-train: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/anthonymeo/full-train/resolve/main/eval_results.json
- Command line
-
hf download hf://anthonymeo/full-train/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/anthonymeo/full-train/resolve/main/eval_results.json
176 Bytes
| { | |
| "epoch": 2.9959514170040484, | |
| "eval_loss": 0.38291454315185547, | |
| "eval_runtime": 35.7131, | |
| "eval_samples_per_second": 18.453, | |
| "eval_steps_per_second": 9.24 | |
| } |