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:
# pip install -U transformers accelerate # 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-1908000/optimizer.pt from CLMBR/old-existential-there-quantifier-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-4/resolve/main/checkpoint-1908000/optimizer.pt
- Command line
-
hf download hf://CLMBR/old-existential-there-quantifier-lstm-4/checkpoint-1908000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-4/resolve/main/checkpoint-1908000/optimizer.pt
544 MB
- Xet hash:
- 7001da0fa107e49c75c70b38215c9b5736264e16bdd03c48b7eec294810339e4
- Size of remote file:
- 544 MB
- SHA256:
- 46057af498997b4ba09e425c639dd21eaaf1713e3b3bd994943d1f018507748f
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