Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Frayansh/lab6-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Frayansh/lab6-trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Frayansh/lab6-trained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Frayansh/lab6-trained") model = AutoModelForSequenceClassification.from_pretrained("Frayansh/lab6-trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Frayansh/lab6-trained: direct link, hf CLI and curl.
- Browser
- Download file 5.14 kB
-
https://huggingface.co/Frayansh/lab6-trained/resolve/main/training_args.bin
- Command line
-
hf download hf://Frayansh/lab6-trained/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Frayansh/lab6-trained/resolve/main/training_args.bin
5.14 kB
- Xet hash:
- 7e8ea7977067a5d671a5054e19faf9fd9243cf07d87f2cd88a79e7726f011142
- Size of remote file:
- 5.14 kB
- SHA256:
- a12b2a8c3f4e59ed6187327b67b144efba06f111270ab7f2f68377af35be518a
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