Instructions to use CLMBR/existential-there-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-992160/optimizer.pt from CLMBR/existential-there-quantifier-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-3/resolve/main/checkpoint-992160/optimizer.pt
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-3/checkpoint-992160/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/existential-there-quantifier-lstm-3/resolve/main/checkpoint-992160/optimizer.pt
544 MB
- Xet hash:
- 4532b0bef100440e100828b3c574e67106ea84fc4eb184122b9fbd22431e06d4
- Size of remote file:
- 544 MB
- SHA256:
- f3c7ef601075a000cf1f224f57d3c819b5333f99e67039dfabc7b5748f269da1
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