# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("sagnikrayc/roberta-base-fever")
model = AutoModelForSequenceClassification.from_pretrained("sagnikrayc/roberta-base-fever", device_map="auto")Quick Links
wandb: Run summary:
wandb: eval/f1 0.8823
wandb: eval/loss 0.55886
wandb: eval/p 0.88088
wandb: eval/r 0.88558
Note:
[evidence_text][SEP][claim]- Only trained/validated on instances length <= 512 tokens.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sagnikrayc/roberta-base-fever")