Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ManojAlexender/Research_paper_MLM_Final_Label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManojAlexender/Research_paper_MLM_Final_Label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ManojAlexender/Research_paper_MLM_Final_Label")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ManojAlexender/Research_paper_MLM_Final_Label") model = AutoModelForSequenceClassification.from_pretrained("ManojAlexender/Research_paper_MLM_Final_Label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ManojAlexender/Research_paper_MLM_Final_Label: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/ManojAlexender/Research_paper_MLM_Final_Label/resolve/main/training_args.bin
- Command line
-
hf download hf://ManojAlexender/Research_paper_MLM_Final_Label/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ManojAlexender/Research_paper_MLM_Final_Label/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 3f5d7d0f08dc03c4681a6776e5d245de178c8dfdcc4d2bcfc1e765b30c01db24
- Size of remote file:
- 4.66 kB
- SHA256:
- f3abc6c82fcdb49c59aedc7d62c50e1e298897b2b15a22cd087228ab49910aed
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