Instructions to use Film8844/wangchanberta-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Film8844/wangchanberta-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Film8844/wangchanberta-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Film8844/wangchanberta-ner") model = AutoModelForTokenClassification.from_pretrained("Film8844/wangchanberta-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62ded3e97f5f4fd8cfacc2740647db357310146388255ee62dba4448cbd938d0
- Size of remote file:
- 905 kB
- SHA256:
- 49c4ba4e495ddf31eb2fdba7fc6aef3c233091d25d35bc9d24694ccf48ae114c
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