Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Noorrabie/shared-task_content_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noorrabie/shared-task_content_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noorrabie/shared-task_content_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noorrabie/shared-task_content_bert") model = AutoModelForSequenceClassification.from_pretrained("Noorrabie/shared-task_content_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Noorrabie/shared-task_content_bert: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/Noorrabie/shared-task_content_bert/resolve/main/training_args.bin
- Command line
-
hf download hf://Noorrabie/shared-task_content_bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Noorrabie/shared-task_content_bert/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 0f0eeacb1e767936df95742348e1faf1e63d22ba0fb9a7cdef01d713ca3d59ec
- Size of remote file:
- 5.5 kB
- SHA256:
- 569806e483a5245688d2821895393bd6e22db16f0e413dc3b32057c4ed82c88a
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