Text Classification
Transformers
Safetensors
PyTorch
English
roberta
question-answering
text-embeddings-inference
Instructions to use whitedevil0089devil/roberta_squad_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/roberta_squad_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/roberta_squad_ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/roberta_squad_ft") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/roberta_squad_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1350/optimizer.pt from whitedevil0089devil/roberta_squad_ft: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/whitedevil0089devil/roberta_squad_ft/resolve/main/checkpoint-1350/optimizer.pt
- Command line
-
hf download hf://whitedevil0089devil/roberta_squad_ft/checkpoint-1350/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/whitedevil0089devil/roberta_squad_ft/resolve/main/checkpoint-1350/optimizer.pt
997 MB
- Xet hash:
- ffa94febf251851df2866823b0511eb3189f17e86c43bb6631db01550ed13153
- Size of remote file:
- 997 MB
- SHA256:
- 5365845aa73645313f74494da97eafbb9dee5559be27dff82c226bd9c28709bc
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