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:
- 00d5b76176dca2128985cf0d0ea1a7fa647e985e16c4cab21ef164f5c7286d96
- Size of remote file:
- 329 MB
- SHA256:
- 56309bd8254fc998a4e4ce032b9c985095db29096ff6222e8434fb2fa8a0f2b8
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