Instructions to use tejaskamtam/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tejaskamtam/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tejaskamtam/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tejaskamtam/testing") model = AutoModelForMaskedLM.from_pretrained("tejaskamtam/testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.0, | |
| "eval_accuracy": 0.6740440005371309, | |
| "eval_loss": 1.7135361433029175, | |
| "eval_runtime": 79.6522, | |
| "eval_samples": 15525, | |
| "eval_samples_per_second": 194.91, | |
| "eval_steps_per_second": 24.368, | |
| "perplexity": 5.548547286429599 | |
| } |