Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/scenarioanalysisv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/scenarioanalysisv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/scenarioanalysisv1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/scenarioanalysisv1") model = AutoModelForSequenceClassification.from_pretrained("lomov/scenarioanalysisv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/May20_00-38-30_r-lomov-climatestrategy-p8xayd7i-a0dd5-v5i4s/events.out.tfevents.1716165511.r-lomov-climatestrategy-p8xayd7i-a0dd5-v5i4s.76.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:99009eeec0daa72c390231f9cf40431cd8a8278dfa41f2e78408505080c5ffdf
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