Instructions to use EthioNLP/EthioLLM-s-70k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/EthioLLM-s-70k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EthioNLP/EthioLLM-s-70k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/EthioLLM-s-70k") model = AutoModelForMaskedLM.from_pretrained("EthioNLP/EthioLLM-s-70k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from EthioNLP/EthioLLM-s-70k: direct link, hf CLI and curl.
- Browser
- Download file 410 Bytes
-
https://huggingface.co/EthioNLP/EthioLLM-s-70k/resolve/main/all_results.json
- Command line
-
hf download hf://EthioNLP/EthioLLM-s-70k/all_results.json
-
curl -L -o all_results.json https://huggingface.co/EthioNLP/EthioLLM-s-70k/resolve/main/all_results.json
410 Bytes
| { | |
| "epoch": 10.0, | |
| "eval_loss": 2.8414549827575684, | |
| "eval_runtime": 1210.0058, | |
| "eval_samples": 181215, | |
| "eval_samples_per_second": 149.764, | |
| "eval_steps_per_second": 18.721, | |
| "perplexity": 17.140686806497133, | |
| "train_loss": 3.5285831512207335, | |
| "train_runtime": 136651.8747, | |
| "train_samples": 724891, | |
| "train_samples_per_second": 53.047, | |
| "train_steps_per_second": 3.315 | |
| } |