Instructions to use CLMBR/old-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/old-existential-there-quantifier-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1908000/optimizer.pt from CLMBR/old-existential-there-quantifier-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-3/resolve/main/checkpoint-1908000/optimizer.pt
- Command line
-
hf download hf://CLMBR/old-existential-there-quantifier-lstm-3/checkpoint-1908000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-3/resolve/main/checkpoint-1908000/optimizer.pt
544 MB
- Xet hash:
- bdafe5725904761c00a728075d6fa89663c51e1dc7acca7b6bbb2e3e39dd9c69
- Size of remote file:
- 544 MB
- SHA256:
- e8f9a68000b476316a903cbddd7f177c7dd87b4221395eaceb0e8d1d51664e8a
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