Instructions to use geshijoker/distilroberta_eli5_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geshijoker/distilroberta_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="geshijoker/distilroberta_eli5_mlm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("geshijoker/distilroberta_eli5_mlm_model") model = AutoModelForMaskedLM.from_pretrained("geshijoker/distilroberta_eli5_mlm_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f18eb091288c56c934023f9471c65015a56e9fec3fd55c91e95f672abeb3b6d1
- Size of remote file:
- 5.24 kB
- SHA256:
- 8e93757f7b97c15380ff725dd45d09d5796244dd83fc6067d724e93b4c94edca
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