Instructions to use Sarveshj/BERT_ep7_lr2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sarveshj/BERT_ep7_lr2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sarveshj/BERT_ep7_lr2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sarveshj/BERT_ep7_lr2") model = AutoModelForTokenClassification.from_pretrained("Sarveshj/BERT_ep7_lr2", 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 sha256:557b77418fee870a8493f7fb9508b76fd3bab67311cb4bd65e9d74500eb31d94
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size 709088164
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