How to use SamuelAllen1234/testing with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="SamuelAllen1234/testing")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SamuelAllen1234/testing") model = AutoModelForSeq2SeqLM.from_pretrained("SamuelAllen1234/testing", device_map="auto")
https://huggingface.co/SamuelAllen1234/testing/resolve/main/README.md
hf download hf://SamuelAllen1234/testing/README.md
curl -L -o README.md https://huggingface.co/SamuelAllen1234/testing/resolve/main/README.md
language: - en license: mit tags: - summarization datasets: - cnn_dailymail metrics: - ROUGE-1 - ROUGE-2 - ROUGE-L - ROUGE-LSUM - loss - gen_len
