Instructions to use CLMBR/superlative-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2289600/training_args.bin from CLMBR/superlative-quantifier-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/CLMBR/superlative-quantifier-lstm-0/resolve/main/checkpoint-2289600/training_args.bin
- Command line
-
hf download hf://CLMBR/superlative-quantifier-lstm-0/checkpoint-2289600/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/superlative-quantifier-lstm-0/resolve/main/checkpoint-2289600/training_args.bin
4.28 kB
- Xet hash:
- 627cd55a3f89f5755aaf0bc54584aa9ed2110e028bc693d4836877961c13c656
- Size of remote file:
- 4.28 kB
- SHA256:
- 4d8885348230f24feea6f5b931a1217055fda5d35637168d4695b30cb4f0fa77
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