Instructions to use mazharsaif/lm_wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazharsaif/lm_wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mazharsaif/lm_wiki")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("mazharsaif/lm_wiki") model = AutoModelForCTC.from_pretrained("mazharsaif/lm_wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mazharsaif/lm_wiki: direct link, hf CLI and curl.
- Browser
- Download file 373 MB
-
https://huggingface.co/mazharsaif/lm_wiki/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mazharsaif/lm_wiki/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mazharsaif/lm_wiki/resolve/main/pytorch_model.bin
373 MB
- Xet hash:
- 770c3cf7ca6ed7b53f7a14596993c0d3962fc6c05f1811f286581740e07fcc54
- Size of remote file:
- 373 MB
- SHA256:
- 7a1715b7a430c1e275921f31c73cbdf48ad9091a12a5b60d1bd75292580b43e0
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