Instructions to use AyoubChLin/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AyoubChLin/distilroberta-base-finetuned-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("AyoubChLin/distilroberta-base-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 704b39865ff2e65cce9bc72b3ff0bda9a1eee836a701295b49245d93ac4157ad
- Size of remote file:
- 5.18 kB
- SHA256:
- f5a909867c7cab6120baf3522125babacf9e8f9a7c0afe58ddcb9bb29dbed579
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