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
File size: 230 Bytes
0d29304 | 1 2 3 4 5 6 7 8 9 | {
"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
} |