Token Classification
Transformers
PyTorch
TensorFlow
TensorBoard
Safetensors
Russian
bert
PyTorch
Transformers
Instructions to use bond005/rubert-multiconer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/rubert-multiconer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bond005/rubert-multiconer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bond005/rubert-multiconer") model = AutoModelForTokenClassification.from_pretrained("bond005/rubert-multiconer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tmp-checkpoint-957/optimizer.pt from bond005/rubert-multiconer: direct link, hf CLI and curl.
- Browser
- Download file 596 MB
-
https://huggingface.co/bond005/rubert-multiconer/resolve/main/tmp-checkpoint-957/optimizer.pt
- Command line
-
hf download hf://bond005/rubert-multiconer/tmp-checkpoint-957/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/bond005/rubert-multiconer/resolve/main/tmp-checkpoint-957/optimizer.pt
596 MB
- Xet hash:
- 752f28458a217c2d47924aff86797829df93edb5229f1df01d08ae00114d4b13
- Size of remote file:
- 596 MB
- SHA256:
- b462b1c8c3b9f35ac65b33e361c8329ba3e6735539e203701de5c036050e2735
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