Instructions to use hf-internal-testing/tiny-random-LukeForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LukeForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-LukeForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LukeForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-LukeForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
954cf6c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6dcf958d2170ba38d3ff4baa10a6a539ea3756c734e74b18533842ea90de8948
size 7022881
|