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 flax_model.msgpack from PubChimps/dl-bert: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/PubChimps/dl-bert/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://PubChimps/dl-bert/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/PubChimps/dl-bert/resolve/main/flax_model.msgpack
334 MB
- Xet hash:
- ffc5e7e174a0bcc92e316aefca9771929bb1462c16831ba24a3b1bfaa832a85d
- Size of remote file:
- 334 MB
- SHA256:
- 4b8e80eb2f71a3dd488329cf2f93b21d1908dabf7697b2c7d13d6eaf7fcf7cb2
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