Instructions to use shqkel-code/bert-base-nsme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shqkel-code/bert-base-nsme with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://shqkel-code/bert-base-nsme") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from shqkel-code/bert-base-nsme: direct link, hf CLI and curl.
- Browser
- Download file 695 Bytes
-
https://huggingface.co/shqkel-code/bert-base-nsme/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://shqkel-code/bert-base-nsme/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/shqkel-code/bert-base-nsme/resolve/main/special_tokens_map.json
695 Bytes
| { | |
| "cls_token": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |