Instructions to use mrm8488/codebert-base-finetuned-stackoverflow-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert-base-finetuned-stackoverflow-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/codebert-base-finetuned-stackoverflow-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert-base-finetuned-stackoverflow-ner") model = AutoModelForTokenClassification.from_pretrained("mrm8488/codebert-base-finetuned-stackoverflow-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mrm8488/codebert-base-finetuned-stackoverflow-ner: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/mrm8488/codebert-base-finetuned-stackoverflow-ner/resolve/f6fba1bc5f647d2d3ee87a5286e730cfbf3fcf71/pytorch_model.bin
- Command line
-
hf download hf://mrm8488/codebert-base-finetuned-stackoverflow-ner@f6fba1bc5f647d2d3ee87a5286e730cfbf3fcf71/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mrm8488/codebert-base-finetuned-stackoverflow-ner/resolve/f6fba1bc5f647d2d3ee87a5286e730cfbf3fcf71/pytorch_model.bin
496 MB
- Xet hash:
- 5b661aebb1e7f12e3835d9f0dc643645c6b7657a05835b7f6efbed921fe46b13
- Size of remote file:
- 496 MB
- SHA256:
- 4e25d64f27fafc258ec1a5f847e25409cd058d3f6efdd0ee1523f495dc6c24d3
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