Instructions to use ManojAlexender/Final_layer_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManojAlexender/Final_layer_LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ManojAlexender/Final_layer_LM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ManojAlexender/Final_layer_LM") model = AutoModelForSequenceClassification.from_pretrained("ManojAlexender/Final_layer_LM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ManojAlexender/Final_layer_LM: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/ManojAlexender/Final_layer_LM/resolve/main/training_args.bin
- Command line
-
hf download hf://ManojAlexender/Final_layer_LM/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ManojAlexender/Final_layer_LM/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 5aa23fcd4bff90d9dc47953a776aad04b4eef1289473689cc1de1f5febef07a7
- Size of remote file:
- 4.66 kB
- SHA256:
- f5ea61cfa8a59fe23f079dded341db3c34a77c19986a2b3885296af3c7226c95
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