Instructions to use mspoulaei/NLP_HF_Workshop_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mspoulaei/NLP_HF_Workshop_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mspoulaei/NLP_HF_Workshop_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mspoulaei/NLP_HF_Workshop_roberta") model = AutoModelForSequenceClassification.from_pretrained("mspoulaei/NLP_HF_Workshop_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aa26d3c152ac551c78ca7e0eca3932c32b891a7eb8c6d4f4442557a6a55dc6f
- Size of remote file:
- 499 MB
- SHA256:
- bc9f160660cb002c2eb7bf640ff244e4bab587a52e85c60620db4deb302ccddc
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