Instructions to use hf-internal-testing/tiny-random-FunnelForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-FunnelForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-FunnelForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
5543daf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ad200c9b18410482f777b85067d2db74c4e4cda71a44e39c4c7c552f199873d9
size 341229
|