Feature Extraction
Transformers
Safetensors
internlm2
llama-factory
full
Generated from Trainer
custom_code
Instructions to use anthonymeo/full-train-expanded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anthonymeo/full-train-expanded with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="anthonymeo/full-train-expanded", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anthonymeo/full-train-expanded", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_results.json from anthonymeo/full-train-expanded: direct link, hf CLI and curl.
- Browser
- Download file 175 Bytes
-
https://huggingface.co/anthonymeo/full-train-expanded/resolve/main/eval_results.json
- Command line
-
hf download hf://anthonymeo/full-train-expanded/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/anthonymeo/full-train-expanded/resolve/main/eval_results.json
175 Bytes
| { | |
| "epoch": 2.99775617053104, | |
| "eval_loss": 0.21995605528354645, | |
| "eval_runtime": 33.1034, | |
| "eval_samples_per_second": 17.974, | |
| "eval_steps_per_second": 9.002 | |
| } |