Instructions to use CLMBR/det-adj-noun-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/det-adj-noun-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/det-adj-noun-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1450080/training_args.bin from CLMBR/det-adj-noun-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/det-adj-noun-lstm-2/resolve/main/checkpoint-1450080/training_args.bin
- Command line
-
hf download hf://CLMBR/det-adj-noun-lstm-2/checkpoint-1450080/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/det-adj-noun-lstm-2/resolve/main/checkpoint-1450080/training_args.bin
4.22 kB
- Xet hash:
- c75409503b0095afd274d6323a908cf65ee858b0287c2d8031eb53082bacddd5
- Size of remote file:
- 4.22 kB
- SHA256:
- 239e2fc8f48ef54db819aaefb1427e6a149b084e2d286a854dfbf4b7082dd27d
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