Instructions to use PubChimps/dl-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PubChimps/dl-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PubChimps/dl-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PubChimps/dl-bert") model = AutoModelForSequenceClassification.from_pretrained("PubChimps/dl-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PubChimps/dl-bert: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/PubChimps/dl-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PubChimps/dl-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PubChimps/dl-bert/resolve/main/pytorch_model.bin
336 MB
- Xet hash:
- 5e9af586334d3a24dea777b918d0ff95b1a016af9c3aeb97168a896021cb5f9f
- Size of remote file:
- 336 MB
- SHA256:
- aa4e759793de921866fde8751b726e0a64ddc6f5ceb1d5fbd40282aa7732ba59
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