Instructions to use gokulsrinivasagan/bert_base_code_uml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokulsrinivasagan/bert_base_code_uml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gokulsrinivasagan/bert_base_code_uml")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gokulsrinivasagan/bert_base_code_uml") model = AutoModelForMaskedLM.from_pretrained("gokulsrinivasagan/bert_base_code_uml", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 265 Bytes
4c5a81d | 1 2 3 4 5 6 7 8 9 10 | {
"epoch": 25.0,
"eval_accuracy": 0.829663160408593,
"eval_loss": 0.822982132434845,
"eval_runtime": 31.502,
"eval_samples": 6151,
"eval_samples_per_second": 195.258,
"eval_steps_per_second": 2.063,
"perplexity": 2.2772808746912707
} |