Instructions to use ThomasKaspereit/IAS40BERT-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThomasKaspereit/IAS40BERT-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThomasKaspereit/IAS40BERT-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThomasKaspereit/IAS40BERT-sentiment") model = AutoModelForSequenceClassification.from_pretrained("ThomasKaspereit/IAS40BERT-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ThomasKaspereit/IAS40BERT-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/ThomasKaspereit/IAS40BERT-sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://ThomasKaspereit/IAS40BERT-sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ThomasKaspereit/IAS40BERT-sentiment/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- cceb94d7f12b32c6f9073f0c5a86dc6dcb8dfbd319c023bc423647cb06a4e305
- Size of remote file:
- 4.98 kB
- SHA256:
- b5672968ee17ec36fa7c1dc971e1b5f182124e9ca66af9e1c066ce7ab4531e5f
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