Instructions to use CLMBR/old-existential-there-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-existential-there-quantifier-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2442240/training_args.bin from CLMBR/old-existential-there-quantifier-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-4/resolve/main/checkpoint-2442240/training_args.bin
- Command line
-
hf download hf://CLMBR/old-existential-there-quantifier-lstm-4/checkpoint-2442240/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-4/resolve/main/checkpoint-2442240/training_args.bin
4.28 kB
- Xet hash:
- 9f35c3a991f6111d08df6f1ff86c09c82e015cd6a08e7bd779cc3ce595188462
- Size of remote file:
- 4.28 kB
- SHA256:
- 86bd1aebd5f17685fd67238425a9435fd44f154573c4a1f38350b1579d8242e6
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