Instructions to use cjvt/muril-en-hi-codemixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/muril-en-hi-codemixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cjvt/muril-en-hi-codemixed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cjvt/muril-en-hi-codemixed") model = AutoModelForMaskedLM.from_pretrained("cjvt/muril-en-hi-codemixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6136725432898202, | |
| "eval_loss": 1.900390625, | |
| "eval_runtime": 4886.2339, | |
| "eval_samples": 558499, | |
| "eval_samples_per_second": 114.301, | |
| "eval_steps_per_second": 0.893, | |
| "perplexity": 6.688506629955475 | |
| } |