Instructions to use arnolfokam/bert-base-uncased-swa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/bert-base-uncased-swa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/bert-base-uncased-swa")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/bert-base-uncased-swa") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/bert-base-uncased-swa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arnolfokam/bert-base-uncased-swa: direct link, hf CLI and curl.
- Browser
- Download file 1.39 kB
-
https://huggingface.co/arnolfokam/bert-base-uncased-swa/resolve/main/training_args.bin
- Command line
-
hf download hf://arnolfokam/bert-base-uncased-swa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arnolfokam/bert-base-uncased-swa/resolve/main/training_args.bin
1.39 kB
- Xet hash:
- bd38b71780f8f74396fdbcec02359bfa0518e8607249eb8b373965b48d68c008
- Size of remote file:
- 1.39 kB
- SHA256:
- dbfbabecef26c7df743e363ec74624f39056614445cef6edfbaec8d0f36951e5
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