Instructions to use phosseini/atomic-roberta-large-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phosseini/atomic-roberta-large-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="phosseini/atomic-roberta-large-full")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("phosseini/atomic-roberta-large-full") model = AutoModelForMaskedLM.from_pretrained("phosseini/atomic-roberta-large-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e2874a387b606d7968337da12f7341feeb5906234cb43920b2254e27b412870
- Size of remote file:
- 3.06 kB
- SHA256:
- 33fb6152ef509579378673c4b5765dcdb45e16f21c3410444f6ec381fbe5db65
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