Instructions to use Benjoyo/eurobert_agent_queries with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjoyo/eurobert_agent_queries with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Benjoyo/eurobert_agent_queries", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Benjoyo/eurobert_agent_queries", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("Benjoyo/eurobert_agent_queries", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download final_model/tokenizer.json from Benjoyo/eurobert_agent_queries: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Benjoyo/eurobert_agent_queries/resolve/main/final_model/tokenizer.json
- Command line
-
hf download hf://Benjoyo/eurobert_agent_queries/final_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Benjoyo/eurobert_agent_queries/resolve/main/final_model/tokenizer.json
17.2 MB
- Xet hash:
- af618330c018c52ea650bbc0c7354e6d8d063bf09095c482cffc578d0b99e1c4
- Size of remote file:
- 17.2 MB
- SHA256:
- 24125c8855fc7055deb4c1c09dcd0e33752d16ef484c4a8e330fc8b1bf3b1baa
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