Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use liambyrne/distilbert-stackoverflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liambyrne/distilbert-stackoverflow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liambyrne/distilbert-stackoverflow")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liambyrne/distilbert-stackoverflow") model = AutoModelForSequenceClassification.from_pretrained("liambyrne/distilbert-stackoverflow", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from liambyrne/distilbert-stackoverflow: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/liambyrne/distilbert-stackoverflow/resolve/main/training_args.bin
- Command line
-
hf download hf://liambyrne/distilbert-stackoverflow/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/liambyrne/distilbert-stackoverflow/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- a03bfa0edb22cc72b156140aade6d949cc2e63c2b3608ba773be7ccb25ecaae6
- Size of remote file:
- 4.54 kB
- SHA256:
- 1d7db15e171bc19370e695f31055c652756eb0873c0ba9494683bb4774b19bba
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