Instructions to use mgtoxd/machineLearningCourse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgtoxd/machineLearningCourse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mgtoxd/machineLearningCourse")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mgtoxd/machineLearningCourse") model = AutoModelForCTC.from_pretrained("mgtoxd/machineLearningCourse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from mgtoxd/machineLearningCourse: direct link, hf CLI and curl.
- Browser
- Download file 162 Bytes
-
https://huggingface.co/mgtoxd/machineLearningCourse/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://mgtoxd/machineLearningCourse@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/mgtoxd/machineLearningCourse/resolve/refs%2Fpr%2F1/tokenizer_config.json
162 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "return_attention_mask": true, "do_normalize": true} |