Instructions to use wenkai-li/distilroberta-base-wikitextepoch_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wenkai-li/distilroberta-base-wikitextepoch_50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="wenkai-li/distilroberta-base-wikitextepoch_50")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("wenkai-li/distilroberta-base-wikitextepoch_50") model = AutoModelForMaskedLM.from_pretrained("wenkai-li/distilroberta-base-wikitextepoch_50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8104976249d189f445ae3db4fea5d1927f5acc8a2b9f00222f79775b850eaabf
- Size of remote file:
- 3.12 kB
- SHA256:
- de778f473688d126c8e67ea95b1ae34e65dc4205443c256099e8ed05a781b1a2
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