Instructions to use CLMBR/superlative-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f747b9682dd5e1b05dcf5355f4296739f8691b366e6ea710708f21fe637a5d17
- Size of remote file:
- 627 Bytes
- SHA256:
- 6f2f15dd3af465da4c0199622f78d75fdc815e4043335f001ca63e02bf418fcb
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