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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") model = AutoModelForTokenClassification.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from whispAI/DirectQuote-SentLevel-DistilBERT: direct link, hf CLI and curl.
- Browser
- Download file 261 MB
-
https://huggingface.co/whispAI/DirectQuote-SentLevel-DistilBERT/resolve/main/model.safetensors
- Command line
-
hf download hf://whispAI/DirectQuote-SentLevel-DistilBERT/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/whispAI/DirectQuote-SentLevel-DistilBERT/resolve/main/model.safetensors
261 MB
- Xet hash:
- 957ab1fe7a0d51b94ed72771409d5ce75796dd434ba577b22e786e8de3c0747a
- Size of remote file:
- 261 MB
- SHA256:
- 5f4bbc89502b1ee53437a77f0345649066ef7aedd6be92ed883cdf83d4b46127
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