Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use bradmin/reward-bert-duplicate-answer-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-bert-duplicate-answer-300 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-bert-duplicate-answer-300")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-bert-duplicate-answer-300") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-bert-duplicate-answer-300", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-500/optimizer.pt from bradmin/reward-bert-duplicate-answer-300: direct link, hf CLI and curl.
- Browser
- Download file 2.69 GB
-
https://huggingface.co/bradmin/reward-bert-duplicate-answer-300/resolve/main/checkpoint-500/optimizer.pt
- Command line
-
hf download hf://bradmin/reward-bert-duplicate-answer-300/checkpoint-500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/bradmin/reward-bert-duplicate-answer-300/resolve/main/checkpoint-500/optimizer.pt
2.69 GB
- Xet hash:
- 6b616911ee71f5dbfe57fa219540c6a884aef317635397c35daa908e4c0c534e
- Size of remote file:
- 2.69 GB
- SHA256:
- f8caa3ae61d0d85856c5e5c2fbff0dc46b2ffbff65b98cc27313e1fc432ea662
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