Instructions to use CLMBR/old-existential-there-quantifier-lstm-0 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-0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-763200/training_args.bin from CLMBR/old-existential-there-quantifier-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-0/resolve/main/checkpoint-763200/training_args.bin
- Command line
-
hf download hf://CLMBR/old-existential-there-quantifier-lstm-0/checkpoint-763200/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-0/resolve/main/checkpoint-763200/training_args.bin
4.28 kB
- Xet hash:
- f742f6b42343d42f29634f41e405fb1cd36ff5ca338396f2b2c42160b01c5764
- Size of remote file:
- 4.28 kB
- SHA256:
- 392bb719cc911b2f770498390994f4fb76b90b12a38160fff764c64fab61a479
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