Instructions to use finiteautomata/robertuitonews-cased-tweetcontext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finiteautomata/robertuitonews-cased-tweetcontext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="finiteautomata/robertuitonews-cased-tweetcontext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("finiteautomata/robertuitonews-cased-tweetcontext") model = AutoModelForMaskedLM.from_pretrained("finiteautomata/robertuitonews-cased-tweetcontext") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.71, | |
| "eval_loss": 1.3815752267837524, | |
| "eval_runtime": 184.9651, | |
| "eval_samples": 181300, | |
| "eval_samples_per_second": 980.185, | |
| "eval_steps_per_second": 3.833, | |
| "perplexity": 3.9811679331316605 | |
| } |