Instructions to use Jsevisal/balanced-augmented-bert-gest-pred-seqeval-partialmatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jsevisal/balanced-augmented-bert-gest-pred-seqeval-partialmatch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jsevisal/balanced-augmented-bert-gest-pred-seqeval-partialmatch")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jsevisal/balanced-augmented-bert-gest-pred-seqeval-partialmatch") model = AutoModelForTokenClassification.from_pretrained("Jsevisal/balanced-augmented-bert-gest-pred-seqeval-partialmatch") - Notebooks
- Google Colab
- Kaggle
Commit ·
437f14a
1
Parent(s): 1cbd213
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (a89bef1d7d2f56cdc70c7f07d87de623e8ae6c37)
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 sha256:1944bb311f7aa7655f5eb3c9a96d8e4232d1ce339d7c8637fa58362ada0fba9f
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size 431035436
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