Instructions to use zakria/NLP_Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zakria/NLP_Project with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zakria/NLP_Project")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("zakria/NLP_Project") model = AutoModelForCTC.from_pretrained("zakria/NLP_Project", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from zakria/NLP_Project: direct link, hf CLI and curl.
- Browser
- Download file 85 Bytes
-
https://huggingface.co/zakria/NLP_Project/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://zakria/NLP_Project/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/zakria/NLP_Project/resolve/main/special_tokens_map.json
85 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"} |