Instructions to use sijunhe/tiny_roformer_v2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sijunhe/tiny_roformer_v2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sijunhe/tiny_roformer_v2_test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sijunhe/tiny_roformer_v2_test") model = AutoModelForMaskedLM.from_pretrained("sijunhe/tiny_roformer_v2_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c4402bbea8b19ca81aa0e1065433b54620933824fb76461b0f6933ed44d1543
- Size of remote file:
- 38.9 kB
- SHA256:
- d5283af1e6c7153cbc73e194a61047fd477c6d33281fcf29c455eaa0da20f93b
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