Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use expruc/references_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use expruc/references_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="expruc/references_v0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("expruc/references_v0") model = AutoModelForSequenceClassification.from_pretrained("expruc/references_v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from expruc/references_v0: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/expruc/references_v0/resolve/main/training_args.bin
- Command line
-
hf download hf://expruc/references_v0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/expruc/references_v0/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 258d396558b44e7458f6fc1409c48d924d8e95554296b1b1ccef47a9503f5f3c
- Size of remote file:
- 4.6 kB
- SHA256:
- 731d9aac6221f6de467ed1c12703cc8ba6483bbb1cd4660827e3996b8b8a0173
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