Instructions to use ctrltokyo/llm_prompt_mask_fill_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctrltokyo/llm_prompt_mask_fill_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ctrltokyo/llm_prompt_mask_fill_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ctrltokyo/llm_prompt_mask_fill_model") model = AutoModelForMaskedLM.from_pretrained("ctrltokyo/llm_prompt_mask_fill_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 937e5bb342d371d2ad052b4197ccc62d275349a385f6f14b32614065b1e29b5e
- Size of remote file:
- 363 MB
- SHA256:
- 0b1b99bd7b3705ee19537802e652723c55e5323a9e18d40f801d4a573b263c37
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