Instructions to use PubChimps/dlfBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PubChimps/dlfBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PubChimps/dlfBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PubChimps/dlfBERT") model = AutoModelForSequenceClassification.from_pretrained("PubChimps/dlfBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PubChimps/dlfBERT: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/PubChimps/dlfBERT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PubChimps/dlfBERT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PubChimps/dlfBERT/resolve/main/pytorch_model.bin
336 MB
- Xet hash:
- 9508aa282598fcd8a53b50ff07d51de2ae49ccb98841874be3015235b4700b1c
- Size of remote file:
- 336 MB
- SHA256:
- f6e52226371f535f4c83b80d1650f82c32535fe32bcc3d13235dc2ee1e66ea13
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