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 training_args.bin from mrm8488/codebert-base-finetuned-stackoverflow-ner: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/mrm8488/codebert-base-finetuned-stackoverflow-ner/resolve/f6fba1bc5f647d2d3ee87a5286e730cfbf3fcf71/training_args.bin
- Command line
-
hf download hf://mrm8488/codebert-base-finetuned-stackoverflow-ner@f6fba1bc5f647d2d3ee87a5286e730cfbf3fcf71/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mrm8488/codebert-base-finetuned-stackoverflow-ner/resolve/f6fba1bc5f647d2d3ee87a5286e730cfbf3fcf71/training_args.bin
1.78 kB
- Xet hash:
- a0f7b79e064608c3770d2cd443be0cfbec953c8c58508d7adac51de77a4faa27
- Size of remote file:
- 1.78 kB
- SHA256:
- 2deb0632b4ca143aa1e5b21a0bcb3697b29b642085df9bcc882b2694e622f4f0
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