Instructions to use pythainlp/thainer-corpus-v2-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pythainlp/thainer-corpus-v2-base-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pythainlp/thainer-corpus-v2-base-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pythainlp/thainer-corpus-v2-base-model") model = AutoModelForTokenClassification.from_pretrained("pythainlp/thainer-corpus-v2-base-model") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
0495d8e
1
Parent(s): 13ff667
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (61669b796255af8ee55efda55ab226cf0cfdd542)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:82c9a1d7d16d985cbc3217a601d7cde5eb01f84f687f5a9466837a992ee6040f
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size 418754132
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