Update README.md

README.md

@@ -579,16 +579,4 @@ inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, ret
 # tokenizer.eos_token_id is the id of <|EOT|> token
 outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id)
 print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))
-~~~
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-
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-## References
-- 1.Yan F, Mao H, Ji C C-J, et al. Berkeley Function Calling Leaderboard.
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-- 2. Abdelaziz I, Basu K, Agarwal M, et al. Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks[J]. arXiv preprint arXiv:2407.00121, 2024.
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-- 3. Wu M, Zhu T, Han H, et al. Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark[J]. arXiv preprint arXiv:2405.08355, 2024.
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-Feel free to reach out for further clarifications or contributions!
+~~~