Instructions to use aitestcoder/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitestcoder/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aitestcoder/distilroberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aitestcoder/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("aitestcoder/distilroberta-base-finetuned-wikitext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a76bb63c6947f7df6f4abb093382e74a428b96f0ae3cfca3033f5570c2ee110
- Size of remote file:
- 3.96 kB
- SHA256:
- 53f7f94c8ff1f5f327c78c835fa60d52583cca64f8c711bfaf0cd7756afc1912
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.