Instructions to use sumitrsch/muril_base_multiconer22_bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumitrsch/muril_base_multiconer22_bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sumitrsch/muril_base_multiconer22_bn")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sumitrsch/muril_base_multiconer22_bn") model = AutoModelForTokenClassification.from_pretrained("sumitrsch/muril_base_multiconer22_bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sumitrsch/muril_base_multiconer22_bn: direct link, hf CLI and curl.
- Browser
- Download file 948 MB
-
https://huggingface.co/sumitrsch/muril_base_multiconer22_bn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sumitrsch/muril_base_multiconer22_bn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sumitrsch/muril_base_multiconer22_bn/resolve/main/pytorch_model.bin
948 MB
- Xet hash:
- c8a557a5c17a802423bb857bb224563b7addd25bc52fa8c79cfcf788ed665a54
- Size of remote file:
- 948 MB
- SHA256:
- 68ee06bfb6bc15b3f6a6dfd4d9491467f03cebeaccaae0234cc6aee890b40688
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