Instructions to use lkk688/eli5asksciencemodeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lkk688/eli5asksciencemodeling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lkk688/eli5asksciencemodeling")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lkk688/eli5asksciencemodeling") model = AutoModelForMaskedLM.from_pretrained("lkk688/eli5asksciencemodeling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79c1c5cffe510e04fb744b95da0b357ae6189d81b1819b0d7e4c7db421c3f552
- Size of remote file:
- 329 MB
- SHA256:
- 27043d239e8c8ebaba4ced50a5ae7bd17367abc7df1a567696417bd7d3bdfae2
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