Instructions to use dwitidibyajyoti/testv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dwitidibyajyoti/testv4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dwitidibyajyoti/testv4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dwitidibyajyoti/testv4") model = AutoModelForTokenClassification.from_pretrained("dwitidibyajyoti/testv4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f5551618775bdc410fa263f6d75712703e9d76a18fa46eee4db3b59c1c5ff6c1
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size 450576668
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