Instructions to use whispAI/DirectQuote-SentLevel-DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whispAI/DirectQuote-SentLevel-DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="whispAI/DirectQuote-SentLevel-DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") model = AutoModelForTokenClassification.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") - Notebooks
- Google Colab
- Kaggle
Commit ·
0e51a55
1
Parent(s): cfc16a2
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (31724bec1b655b558a39bbf4c22e5ac868b70374)
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 sha256:5f4bbc89502b1ee53437a77f0345649066ef7aedd6be92ed883cdf83d4b46127
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size 260803668
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