Instructions to use geninhu/roberta_large_ITPT_FP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geninhu/roberta_large_ITPT_FP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="geninhu/roberta_large_ITPT_FP")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("geninhu/roberta_large_ITPT_FP") model = AutoModelForMaskedLM.from_pretrained("geninhu/roberta_large_ITPT_FP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aedb26629d03655dad443e1d57433276efe102759429b64af411cc63e3f88e3b
- Size of remote file:
- 1.42 GB
- SHA256:
- 95aba5302b3e5b8be84cd199daec731e737db0269fddfb79e21147a12ef16fbd
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